----------------------------------------------------------------------------------------
       log:  C:\Documents and Settings\md177.AD\Desktop\modelresults031307complete.log
  log type:  text
 opened on:  13 Mar 2007, 14:59:59

. 
. use "C:\WORK\Research-ArticlesInProgress\Colombia coca cultivation with Cate Russler\d
> ata\20070312\newcsts031207.dta", clear

. 
. *gen poverty_2=poverty*poverty
. *gen displaced_2=displaced*displaced
. *gen receipt_2=rec100*rec100
. 
. tsset deptid year, yearly
       panel variable:  deptid, 1 to 32
        time variable:  year, 2000 to 2005

. xi: xtpcse cocax100 l.cocax100 l.spraykm2 l.g100000 l.corrupt100 l.pubinfra l.agroecon
>  l.displaced l.rec100 l.roads l.poverty i.deptid, het noc 
i.deptid          _Ideptid_1-32       (naturally coded; _Ideptid_1 omitted)

Linear regression, heteroskedastic panels corrected standard errors

Group variable:   deptid                        Number of obs      =       128
Time variable:    year                          Number of groups   =        32
Panels:           heteroskedastic (balanced)    Obs per group: min =         4
Autocorrelation:  no autocorrelation                           avg =         4
                                                               max =         4
Estimated covariances      =        32          R-squared          =    0.9184
Estimated autocorrelations =         0          Wald chi2(39)      =    581.56
Estimated coefficients     =        39          Prob > chi2        =    0.0000

------------------------------------------------------------------------------
             |            Het-corrected
    cocax100 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    cocax100 |
         L1. |   .6406934   .2139642     2.99   0.003     .2213314    1.060055
    spraykm2 |
         L1. |   .1874004   2.290278     0.08   0.935    -4.301462    4.676263
     g100000 |
         L1. |   .0002632   .0003633     0.72   0.469     -.000449    .0009753
  corrupt100 |
         L1. |  -.3052557   .3675908    -0.83   0.406     -1.02572     .415209
    pubinfra |
         L1. |  -3.069314   1.829263    -1.68   0.093    -6.654604    .5159768
    agroecon |
         L1. |  -.6671748   .8346204    -0.80   0.424    -2.303001    .9686512
   displaced |
         L1. |  -118.7363   55.91076    -2.12   0.034    -228.3194   -9.153256
      rec100 |
         L1. |   18.50158   9.885295     1.87   0.061    -.8732395    37.87641
       roads |
         L1. |  -.1532667   .0969587    -1.58   0.114    -.3433022    .0367689
     poverty |
         L1. |   .4913822   .3765722     1.30   0.192    -.2466858     1.22945
  _Ideptid_2 |   10.81006   5.869558     1.84   0.066    -.6940604    22.31418
  _Ideptid_3 |   9.681359   4.042756     2.39   0.017     1.757702    17.60501
  _Ideptid_4 |   12.70084   8.741304     1.45   0.146    -4.431801    29.83348
  _Ideptid_5 |   7.257987   4.799227     1.51   0.130    -2.148326     16.6643
  _Ideptid_6 |   2.873511    2.24068     1.28   0.200    -1.518142    7.265163
  _Ideptid_7 |   14.47084   8.313273     1.74   0.082    -1.822877    30.76455
  _Ideptid_8 |   4.226257   2.338789     1.81   0.071    -.3576846    8.810199
  _Ideptid_9 |  (dropped)
 _Ideptid_10 |  -5.372781   2.732845    -1.97   0.049    -10.72906   -.0165033
 _Ideptid_11 |   2.703316   3.232905     0.84   0.403    -3.633061    9.039693
 _Ideptid_12 |  -7.133082   5.486016    -1.30   0.194    -17.88548    3.619311
 _Ideptid_13 |  -2.347952     5.0393    -0.47   0.641     -12.2248    7.528894
 _Ideptid_14 |   13.73702   8.501647     1.62   0.106    -2.925905    30.39994
 _Ideptid_15 |   5.131345   6.144257     0.84   0.404    -6.911177    17.17387
 _Ideptid_16 |  -31.75643   14.51154    -2.19   0.029    -60.19853    -3.31433
 _Ideptid_17 |  (dropped)
 _Ideptid_18 |   4.766169   3.098618     1.54   0.124    -1.307011    10.83935
 _Ideptid_19 |   .6314371   2.231974     0.28   0.777    -3.743152    5.006027
 _Ideptid_20 |   10.69063   6.659005     1.61   0.108    -2.360779    23.74204
 _Ideptid_21 |  -2.214274   6.579815    -0.34   0.736    -15.11047    10.68193
 _Ideptid_22 |   3.722932   4.612087     0.81   0.420    -5.316593    12.76246
 _Ideptid_23 |  -11.89938   8.238213    -1.44   0.149    -28.04598    4.247218
 _Ideptid_24 |   15.59979   8.827003     1.77   0.077    -1.700815     32.9004
 _Ideptid_25 |   9.319579   5.870964     1.59   0.112      -2.1873    20.82646
 _Ideptid_26 |   13.79836   9.891526     1.39   0.163     -5.58867     33.1854
 _Ideptid_27 |   8.436503    5.37409     1.57   0.116    -2.096521    18.96953
 _Ideptid_28 |  -6.264836   7.068813    -0.89   0.375    -20.11946    7.589784
 _Ideptid_29 |   10.34071   6.016918     1.72   0.086    -1.452228    22.13366
 _Ideptid_30 |   16.30593    9.65847     1.69   0.091    -2.624324    35.23618
 _Ideptid_31 |  -19.11886   10.43262    -1.83   0.067    -39.56642    1.328711
 _Ideptid_32 |  -16.68492   13.13091    -1.27   0.204    -42.42104    9.051202
------------------------------------------------------------------------------

. outreg l.cocax100 l.spraykm2 l.g100000 l.corrupt100 l.pubinfra l.agroecon l.displaced 
> l.rec100 l.roads l.poverty using completeresultsoutreg031307, se coefastr bdec(3) rdec
> (3) 3aster nolabel ctitle(Model 1, pcse) sigsymb(*,**,***)

. outreg l.cocax100 l.spraykm2 l.g100000 l.corrupt100 l.pubinfra l.agroecon l.displaced 
> l.rec100 l.roads l.poverty using completeresultsoutreg031307, beta coefastr bdec(3) rd
> ec(3) 3aster nolabel ctitle(Model 1, beta, pcse) sigsymb(*,**,***) append

. *CHOW TEST OF DUMMIES
. testparm _Idep*

 ( 1)  _Ideptid_2 = 0
 ( 2)  _Ideptid_3 = 0
 ( 3)  _Ideptid_4 = 0
 ( 4)  _Ideptid_5 = 0
 ( 5)  _Ideptid_6 = 0
 ( 6)  _Ideptid_7 = 0
 ( 7)  _Ideptid_8 = 0
 ( 8)  _Ideptid_9 = 0
 ( 9)  _Ideptid_10 = 0
 (10)  _Ideptid_11 = 0
 (11)  _Ideptid_12 = 0
 (12)  _Ideptid_13 = 0
 (13)  _Ideptid_14 = 0
 (14)  _Ideptid_15 = 0
 (15)  _Ideptid_16 = 0
 (16)  _Ideptid_17 = 0
 (17)  _Ideptid_18 = 0
 (18)  _Ideptid_19 = 0
 (19)  _Ideptid_20 = 0
 (20)  _Ideptid_21 = 0
 (21)  _Ideptid_22 = 0
 (22)  _Ideptid_23 = 0
 (23)  _Ideptid_24 = 0
 (24)  _Ideptid_25 = 0
 (25)  _Ideptid_26 = 0
 (26)  _Ideptid_27 = 0
 (27)  _Ideptid_28 = 0
 (28)  _Ideptid_29 = 0
 (29)  _Ideptid_30 = 0
 (30)  _Ideptid_31 = 0
 (31)  _Ideptid_32 = 0
       Constraint 8 dropped
       Constraint 16 dropped

           chi2( 29) =   31.60
         Prob > chi2 =    0.3376

. qui:xi: xtpcse cocax100 l.cocax100 l.spraykm2 l.g100000 l.corrupt100 l.pubinfra l.agro
> econ l.displaced l.rec100 l.roads l.poverty i.deptid, het noc 

. *vif
. 
. xi: xtpcse cocax100 l.cocax100 l.spraykm2 l.g100000 l.corrupt100 l.pubinfra l.agroecon
>  l.displaced l.rec100 l.roads l.poverty l.poverty_2 i.deptid, het noc 
i.deptid          _Ideptid_1-32       (naturally coded; _Ideptid_1 omitted)

Linear regression, heteroskedastic panels corrected standard errors

Group variable:   deptid                        Number of obs      =       128
Time variable:    year                          Number of groups   =        32
Panels:           heteroskedastic (balanced)    Obs per group: min =         4
Autocorrelation:  no autocorrelation                           avg =         4
                                                               max =         4
Estimated covariances      =        32          R-squared          =    0.9184
Estimated autocorrelations =         0          Wald chi2(39)      =    581.56
Estimated coefficients     =        39          Prob > chi2        =    0.0000

------------------------------------------------------------------------------
             |            Het-corrected
    cocax100 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    cocax100 |
         L1. |   .6406934   .2139642     2.99   0.003     .2213314    1.060055
    spraykm2 |
         L1. |   .1874004   2.290278     0.08   0.935    -4.301462    4.676263
     g100000 |
         L1. |   .0002632   .0003633     0.72   0.469     -.000449    .0009753
  corrupt100 |
         L1. |  -.1443434    .306156    -0.47   0.637    -.7443982    .4557113
    pubinfra |
         L1. |  -3.069314   1.829263    -1.68   0.093    -6.654604    .5159768
    agroecon |
         L1. |  -.6671748   .8346204    -0.80   0.424    -2.303001    .9686512
   displaced |
         L1. |  -118.7363   55.91076    -2.12   0.034    -228.3194   -9.153256
      rec100 |
         L1. |   18.50158   9.885295     1.87   0.061    -.8732395    37.87641
       roads |
         L1. |   -.429627   .1959465    -2.19   0.028     -.813675   -.0455789
     poverty |
         L1. |   1.644869   .8875956     1.85   0.064     -.094786    3.384525
   poverty_2 |
         L1. |  -.0156411   .0071474    -2.19   0.029    -.0296497   -.0016324
  _Ideptid_2 |   11.01341   5.935289     1.86   0.064    -.6195406    22.64637
  _Ideptid_3 |   4.304612   2.840715     1.52   0.130    -1.263086    9.872311
  _Ideptid_4 |   12.97467   8.851592     1.47   0.143    -4.374134    30.32347
  _Ideptid_5 |   10.25572   5.758816     1.78   0.075    -1.031351    21.54279
  _Ideptid_6 |  -6.885229   3.651833    -1.89   0.059    -14.04269    .2722315
  _Ideptid_7 |   16.14481   8.957561     1.80   0.071    -1.411688     33.7013
  _Ideptid_8 |   1.171865   2.508677     0.47   0.640    -3.745052    6.088781
  _Ideptid_9 |  (dropped)
 _Ideptid_10 |  -18.35961   8.315479    -2.21   0.027    -34.65765    -2.06157
 _Ideptid_11 |   3.327132   3.226365     1.03   0.302    -2.996426     9.65069
 _Ideptid_12 |  -4.075038   5.240009    -0.78   0.437    -14.34527    6.195191
 _Ideptid_13 |   6.702569   4.617642     1.45   0.147    -2.347844    15.75298
 _Ideptid_14 |   9.241147   6.691111     1.38   0.167     -3.87319    22.35548
 _Ideptid_15 |   7.963391   7.345519     1.08   0.278    -6.433563    22.36034
 _Ideptid_16 |  (dropped)
 _Ideptid_17 |  (dropped)
 _Ideptid_18 |  -5.476853   3.024155    -1.81   0.070    -11.40409    .4503809
 _Ideptid_19 |  -7.692353   4.881083    -1.58   0.115     -17.2591    1.874395
 _Ideptid_20 |   -2.60749   3.326456    -0.78   0.433    -9.127225    3.912245
 _Ideptid_21 |  -2.985321   6.791005    -0.44   0.660    -16.29545    10.32481
 _Ideptid_22 |  -1.024787   5.330831    -0.19   0.848    -11.47302    9.423451
 _Ideptid_23 |  -12.33707    8.39401    -1.47   0.142    -28.78903    4.114885
 _Ideptid_24 |   19.85873   10.30057     1.93   0.054    -.3300135    40.04747
 _Ideptid_25 |   2.492937   3.365374     0.74   0.459    -4.103075    9.088949
 _Ideptid_26 |   12.88235   9.502991     1.36   0.175    -5.743168    31.50787
 _Ideptid_27 |   1.444584   2.713585     0.53   0.594    -3.873945    6.763112
 _Ideptid_28 |  -2.369462   5.752323    -0.41   0.680    -13.64381    8.904884
 _Ideptid_29 |   11.08864   6.215339     1.78   0.074    -1.093196    23.27048
 _Ideptid_30 |   19.20893   10.85788     1.77   0.077    -2.072123    40.48998
 _Ideptid_31 |   9.950341   6.406943     1.55   0.120    -2.607036    22.50772
 _Ideptid_32 |  -3.621888   8.011187    -0.45   0.651    -19.32353    12.07975
------------------------------------------------------------------------------

. outreg l.cocax100 l.spraykm2 l.g100000 l.corrupt100 l.pubinfra l.agroecon l.displaced 
> l.rec100 l.roads l.poverty l.poverty_2 using completeresultsoutreg031307, se coefastr 
> bdec(3) rdec(3) 3aster nolabel ctitle(Model 2, pcse) sigsymb(*,**,***) append

. outreg l.cocax100 l.spraykm2 l.g100000 l.corrupt100 l.pubinfra l.agroecon l.displaced 
> l.rec100 l.roads l.poverty l.poverty_2 using completeresultsoutreg031307, beta coefast
> r bdec(3) rdec(3) 3aster nolabel ctitle(Model 2 beta, pcse) sigsymb(*,**,***) append

. *CHOW TEST OF DUMMIES
. testparm _Idep*

 ( 1)  _Ideptid_2 = 0
 ( 2)  _Ideptid_3 = 0
 ( 3)  _Ideptid_4 = 0
 ( 4)  _Ideptid_5 = 0
 ( 5)  _Ideptid_6 = 0
 ( 6)  _Ideptid_7 = 0
 ( 7)  _Ideptid_8 = 0
 ( 8)  _Ideptid_9 = 0
 ( 9)  _Ideptid_10 = 0
 (10)  _Ideptid_11 = 0
 (11)  _Ideptid_12 = 0
 (12)  _Ideptid_13 = 0
 (13)  _Ideptid_14 = 0
 (14)  _Ideptid_15 = 0
 (15)  _Ideptid_16 = 0
 (16)  _Ideptid_17 = 0
 (17)  _Ideptid_18 = 0
 (18)  _Ideptid_19 = 0
 (19)  _Ideptid_20 = 0
 (20)  _Ideptid_21 = 0
 (21)  _Ideptid_22 = 0
 (22)  _Ideptid_23 = 0
 (23)  _Ideptid_24 = 0
 (24)  _Ideptid_25 = 0
 (25)  _Ideptid_26 = 0
 (26)  _Ideptid_27 = 0
 (27)  _Ideptid_28 = 0
 (28)  _Ideptid_29 = 0
 (29)  _Ideptid_30 = 0
 (30)  _Ideptid_31 = 0
 (31)  _Ideptid_32 = 0
       Constraint 8 dropped
       Constraint 15 dropped
       Constraint 16 dropped

           chi2( 28) =   31.12
         Prob > chi2 =    0.3118

. 
. xi: xtpcse cocax100 l.cocax100 l.spraykm2 l.g100000 l.corrupt100 l.pubinfra l.agroecon
>  l.displaced l.rec100 l.roads l.poverty l.displaced_2 i.deptid, het noc 
i.deptid          _Ideptid_1-32       (naturally coded; _Ideptid_1 omitted)

Linear regression, heteroskedastic panels corrected standard errors

Group variable:   deptid                        Number of obs      =       128
Time variable:    year                          Number of groups   =        32
Panels:           heteroskedastic (balanced)    Obs per group: min =         4
Autocorrelation:  no autocorrelation                           avg =         4
                                                               max =         4
Estimated covariances      =        32          R-squared          =    0.9305
Estimated autocorrelations =         0          Wald chi2(40)      =    758.72
Estimated coefficients     =        40          Prob > chi2        =    0.0000

------------------------------------------------------------------------------
             |            Het-corrected
    cocax100 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    cocax100 |
         L1. |   .7719117    .201958     3.82   0.000     .3760813    1.167742
    spraykm2 |
         L1. |   2.916142   3.253969     0.90   0.370     -3.46152    9.293805
     g100000 |
         L1. |   .0006214   .0003454     1.80   0.072    -.0000556    .0012984
  corrupt100 |
         L1. |   .1499741   .2942453     0.51   0.610    -.4267361    .7266842
    pubinfra |
         L1. |  -2.763669    1.71796    -1.61   0.108    -6.130808    .6034702
    agroecon |
         L1. |  -.8099841   .7283051    -1.11   0.266    -2.237436    .6174676
   displaced |
         L1. |   85.81147   69.61632     1.23   0.218    -50.63401    222.2569
      rec100 |
         L1. |   14.35858   7.607112     1.89   0.059    -.5510816    29.26825
       roads |
         L1. |  -.2043145   .0932043    -2.19   0.028    -.3869915   -.0216375
     poverty |
         L1. |   .0812642   .2973978     0.27   0.785    -.5016248    .6641531
 displaced_2 |
         L1. |  -2204.342   1130.357    -1.95   0.051      -4419.8    11.11615
  _Ideptid_2 |   10.70396   5.552681     1.93   0.054    -.1790987    21.58701
  _Ideptid_3 |   6.944135   3.811096     1.82   0.068    -.5254755    14.41375
  _Ideptid_4 |   10.42397    7.60647     1.37   0.171    -4.484439    25.33237
  _Ideptid_5 |     6.9059   4.661439     1.48   0.138    -2.230352    16.04215
  _Ideptid_6 |    4.23766   2.141631     1.98   0.048      .040141     8.43518
  _Ideptid_7 |   12.48826   7.428533     1.68   0.093      -2.0714    27.04791
  _Ideptid_8 |   3.604031   2.571123     1.40   0.161    -1.435278    8.643339
  _Ideptid_9 |  (dropped)
 _Ideptid_10 |  -4.911966   2.457391    -2.00   0.046    -9.728364   -.0955673
 _Ideptid_11 |   4.914407   3.080351     1.60   0.111    -1.122969    10.95178
 _Ideptid_12 |  -12.01357   5.343764    -2.25   0.025    -22.48716   -1.539988
 _Ideptid_13 |   4.516455   3.998693     1.13   0.259     -3.32084    12.35375
 _Ideptid_14 |    8.72182   7.056771     1.24   0.216    -5.109198    22.55284
 _Ideptid_15 |  -.8628164   5.246047    -0.16   0.869    -11.14488    9.419247
 _Ideptid_16 |  -19.48573   11.79758    -1.65   0.099    -42.60857    3.637108
 _Ideptid_17 |  (dropped)
 _Ideptid_18 |   3.855622    2.69252     1.43   0.152    -1.421619    9.132864
 _Ideptid_19 |   .5284102   1.991509     0.27   0.791    -3.374875    4.431695
 _Ideptid_20 |   2.829001   5.486888     0.52   0.606    -7.925103     13.5831
 _Ideptid_21 |    3.65521   5.127712     0.71   0.476    -6.394921    13.70534
 _Ideptid_22 |   6.627107   4.403171     1.51   0.132    -2.002949    15.25716
 _Ideptid_23 |  -11.58146   7.382803    -1.57   0.117    -26.05149    2.888567
 _Ideptid_24 |   16.25906   8.100754     2.01   0.045     .3818732    32.13625
 _Ideptid_25 |   6.527921   4.960167     1.32   0.188    -3.193827    16.24967
 _Ideptid_26 |   8.636776   8.335241     1.04   0.300    -7.699995    24.97355
 _Ideptid_27 |   5.303119   4.507913     1.18   0.239    -3.532228    14.13847
 _Ideptid_28 |   2.075951    5.60719     0.37   0.711     -8.91394    13.06584
 _Ideptid_29 |   11.98102   5.771973     2.08   0.038     .6681565    23.29388
 _Ideptid_30 |   12.57333   8.350544     1.51   0.132    -3.793435     28.9401
 _Ideptid_31 |  -16.72008   9.109162    -1.84   0.066    -34.57371    1.133546
 _Ideptid_32 |  -9.194367   10.72267    -0.86   0.391    -30.21041    11.82168
------------------------------------------------------------------------------

. outreg l.cocax100 l.spraykm2 l.g100000 l.corrupt100 l.pubinfra l.agroecon l.displaced 
> l.rec100 l.roads l.poverty l.displaced_2 using completeresultsoutreg031307, se coefast
> r bdec(3) rdec(3) 3aster nolabel ctitle(Model 3, pcse) sigsymb(*,**,***) append

. outreg l.cocax100 l.spraykm2 l.g100000 l.corrupt100 l.pubinfra l.agroecon l.displaced 
> l.rec100 l.roads l.poverty l.displaced_2 using completeresultsoutreg031307, beta coefa
> str bdec(3) rdec(3) 3aster nolabel ctitle(Model 3 beta, pcse) sigsymb(*,**,***) append

. *CHOW TEST OF DUMMIES
. testparm _Idep*

 ( 1)  _Ideptid_2 = 0
 ( 2)  _Ideptid_3 = 0
 ( 3)  _Ideptid_4 = 0
 ( 4)  _Ideptid_5 = 0
 ( 5)  _Ideptid_6 = 0
 ( 6)  _Ideptid_7 = 0
 ( 7)  _Ideptid_8 = 0
 ( 8)  _Ideptid_9 = 0
 ( 9)  _Ideptid_10 = 0
 (10)  _Ideptid_11 = 0
 (11)  _Ideptid_12 = 0
 (12)  _Ideptid_13 = 0
 (13)  _Ideptid_14 = 0
 (14)  _Ideptid_15 = 0
 (15)  _Ideptid_16 = 0
 (16)  _Ideptid_17 = 0
 (17)  _Ideptid_18 = 0
 (18)  _Ideptid_19 = 0
 (19)  _Ideptid_20 = 0
 (20)  _Ideptid_21 = 0
 (21)  _Ideptid_22 = 0
 (22)  _Ideptid_23 = 0
 (23)  _Ideptid_24 = 0
 (24)  _Ideptid_25 = 0
 (25)  _Ideptid_26 = 0
 (26)  _Ideptid_27 = 0
 (27)  _Ideptid_28 = 0
 (28)  _Ideptid_29 = 0
 (29)  _Ideptid_30 = 0
 (30)  _Ideptid_31 = 0
 (31)  _Ideptid_32 = 0
       Constraint 8 dropped
       Constraint 16 dropped

           chi2( 29) =   34.44
         Prob > chi2 =    0.2237

. 
. xi: xtpcse cocax100 l.cocax100 l.spraykm2 l.g100000 l.corrupt100 l.pubinfra l.agroecon
>  l.displaced l.rec100 l.roads l.poverty l.receipt_2 i.deptid, het noc 
i.deptid          _Ideptid_1-32       (naturally coded; _Ideptid_1 omitted)

Linear regression, heteroskedastic panels corrected standard errors

Group variable:   deptid                        Number of obs      =       128
Time variable:    year                          Number of groups   =        32
Panels:           heteroskedastic (balanced)    Obs per group: min =         4
Autocorrelation:  no autocorrelation                           avg =         4
                                                               max =         4
Estimated covariances      =        32          R-squared          =    0.9233
Estimated autocorrelations =         0          Wald chi2(40)      =    971.21
Estimated coefficients     =        40          Prob > chi2        =    0.0000

------------------------------------------------------------------------------
             |            Het-corrected
    cocax100 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    cocax100 |
         L1. |   .7051782   .2128009     3.31   0.001     .2880962     1.12226
    spraykm2 |
         L1. |   1.774061   2.257324     0.79   0.432    -2.650213    6.198335
     g100000 |
         L1. |   .0004754   .0003809     1.25   0.212    -.0002711    .0012219
  corrupt100 |
         L1. |  -.2048874   .3686233    -0.56   0.578    -.9273758    .5176009
    pubinfra |
         L1. |  -2.772015   1.751063    -1.58   0.113    -6.204035     .660006
    agroecon |
         L1. |  -.9631015   .7894286    -1.22   0.222    -2.510353    .5841502
   displaced |
         L1. |   -268.476   103.0888    -2.60   0.009    -470.5263   -66.42581
      rec100 |
         L1. |   224.5391   106.8777     2.10   0.036     15.06256    434.0156
       roads |
         L1. |  -.1818307   .0933428    -1.95   0.051    -.3647791    .0011178
     poverty |
         L1. |    .405402    .368904     1.10   0.272    -.3176366    1.128441
   receipt_2 |
         L1. |  -215.1198   106.2609    -2.02   0.043    -423.3873    -6.85224
  _Ideptid_2 |   11.94333   5.554219     2.15   0.032     1.057263     22.8294
  _Ideptid_3 |   11.21228   3.831115     2.93   0.003     3.703433    18.72113
  _Ideptid_4 |   11.84742   8.414361     1.41   0.159    -4.644427    28.33926
  _Ideptid_5 |   8.688472   4.538087     1.91   0.056    -.2060159    17.58296
  _Ideptid_6 |   3.549543   2.140018     1.66   0.097    -.6448147      7.7439
  _Ideptid_7 |   15.77836   7.753348     2.04   0.042     .5820742    30.97464
  _Ideptid_8 |   7.075962   3.012686     2.35   0.019     1.171205    12.98072
  _Ideptid_9 |  (dropped)
 _Ideptid_10 |  -4.880192   2.639423    -1.85   0.064    -10.05337    .2929827
 _Ideptid_11 |   4.746525   3.356533     1.41   0.157    -1.832158    11.32521
 _Ideptid_12 |  -6.935944   5.523631    -1.26   0.209    -17.76206    3.890174
 _Ideptid_13 |   -.503135   5.065495    -0.10   0.921    -10.43132    9.425053
 _Ideptid_14 |   13.71284   8.048245     1.70   0.088    -2.061425    29.48711
 _Ideptid_15 |   6.812996   5.706352     1.19   0.233    -4.371249    17.99724
 _Ideptid_16 |  -75.19968   23.42389    -3.21   0.001    -121.1097    -29.2897
 _Ideptid_17 |  (dropped)
 _Ideptid_18 |   4.701052   3.020724     1.56   0.120    -1.219457    10.62156
 _Ideptid_19 |    1.48287   2.183004     0.68   0.497    -2.795739    5.761479
 _Ideptid_20 |   9.490213   6.580579     1.44   0.149    -3.407485    22.38791
 _Ideptid_21 |  -1.377638   6.455548    -0.21   0.831    -14.03028      11.275
 _Ideptid_22 |   4.949304   4.632804     1.07   0.285    -4.130825    14.02943
 _Ideptid_23 |  -9.873954   8.049889    -1.23   0.220    -25.65145     5.90354
 _Ideptid_24 |   16.92883   8.351162     2.03   0.043     .5608562    33.29681
 _Ideptid_25 |   8.804218   5.656887     1.56   0.120    -2.283077    19.89151
 _Ideptid_26 |   13.10256   9.393516     1.39   0.163    -5.308394    31.51351
 _Ideptid_27 |   7.741608   5.190359     1.49   0.136    -2.431309    17.91452
 _Ideptid_28 |  -5.832061   6.846778    -0.85   0.394     -19.2515    7.587377
 _Ideptid_29 |   13.17104   5.709309     2.31   0.021        1.981    24.36108
 _Ideptid_30 |   16.22624   9.153617     1.77   0.076    -1.714516      34.167
 _Ideptid_31 |  -19.39227   9.835872    -1.97   0.049    -38.67023    -.114321
 _Ideptid_32 |  -14.87649   12.62787    -1.18   0.239    -39.62666    9.873679
------------------------------------------------------------------------------

. outreg l.cocax100 l.spraykm2 l.g100000 l.corrupt100 l.pubinfra l.agroecon l.displaced 
> l.rec100 l.roads l.poverty l.receipt_2 using completeresultsoutreg031307, se coefastr 
> bdec(3) rdec(3) 3aster nolabel ctitle(Model 4, pcse) sigsymb(*,**,***) append

. outreg l.cocax100 l.spraykm2 l.g100000 l.corrupt100 l.pubinfra l.agroecon l.displaced 
> l.rec100 l.roads l.poverty l.receipt_2 using completeresultsoutreg031307, beta coefast
> r bdec(3) rdec(3) 3aster nolabel ctitle(Model 4 beta, pcse) sigsymb(*,**,***) append

. *CHOW TEST OF DUMMIES
. testparm _Idep*

 ( 1)  _Ideptid_2 = 0
 ( 2)  _Ideptid_3 = 0
 ( 3)  _Ideptid_4 = 0
 ( 4)  _Ideptid_5 = 0
 ( 5)  _Ideptid_6 = 0
 ( 6)  _Ideptid_7 = 0
 ( 7)  _Ideptid_8 = 0
 ( 8)  _Ideptid_9 = 0
 ( 9)  _Ideptid_10 = 0
 (10)  _Ideptid_11 = 0
 (11)  _Ideptid_12 = 0
 (12)  _Ideptid_13 = 0
 (13)  _Ideptid_14 = 0
 (14)  _Ideptid_15 = 0
 (15)  _Ideptid_16 = 0
 (16)  _Ideptid_17 = 0
 (17)  _Ideptid_18 = 0
 (18)  _Ideptid_19 = 0
 (19)  _Ideptid_20 = 0
 (20)  _Ideptid_21 = 0
 (21)  _Ideptid_22 = 0
 (22)  _Ideptid_23 = 0
 (23)  _Ideptid_24 = 0
 (24)  _Ideptid_25 = 0
 (25)  _Ideptid_26 = 0
 (26)  _Ideptid_27 = 0
 (27)  _Ideptid_28 = 0
 (28)  _Ideptid_29 = 0
 (29)  _Ideptid_30 = 0
 (30)  _Ideptid_31 = 0
 (31)  _Ideptid_32 = 0
       Constraint 8 dropped
       Constraint 16 dropped

           chi2( 29) =   36.44
         Prob > chi2 =    0.1611

. 
. **Prais-winsten regressions
. tsset deptid year, yearly
       panel variable:  deptid, 1 to 32
        time variable:  year, 2000 to 2005

. xi: xtpcse cocax100 l.spraykm2 l.g100000 l.corrupt100 l.pubinfra l.agroecon l.displace
> d l.rec100 l.roads l.poverty i.deptid, het correlation(ar1) noc 
i.deptid          _Ideptid_1-32       (naturally coded; _Ideptid_1 omitted)

Prais-Winsten regression, heteroskedastic panels corrected standard errors

Group variable:   deptid                        Number of obs      =       160
Time variable:    year                          Number of groups   =        32
Panels:           heteroskedastic (balanced)    Obs per group: min =         5
Autocorrelation:  common AR(1)                                 avg =         5
                                                               max =         5
Estimated covariances      =        32          R-squared          =    0.9094
Estimated autocorrelations =         1          Wald chi2(38)      =    492.82
Estimated coefficients     =        38          Prob > chi2        =    0.0000

------------------------------------------------------------------------------
             |            Het-corrected
    cocax100 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    spraykm2 |
         L1. |   -.048307   2.048662    -0.02   0.981    -4.063611    3.966997
     g100000 |
         L1. |   -.000513   .0003475    -1.48   0.140     -.001194     .000168
  corrupt100 |
         L1. |   .1077522   .0860983     1.25   0.211    -.0609973    .2765018
    pubinfra |
         L1. |  -4.955942   1.705845    -2.91   0.004    -8.299338   -1.612547
    agroecon |
         L1. |   4.736136   1.026774     4.61   0.000     2.723695    6.748576
   displaced |
         L1. |  -133.6465   57.19514    -2.34   0.019     -245.747   -21.54613
      rec100 |
         L1. |   7.784618   9.255438     0.84   0.400    -10.35571    25.92494
       roads |
         L1. |  -.2033447   .0466845    -4.36   0.000    -.2948447   -.1118448
     poverty |
         L1. |   .1878247   .0708896     2.65   0.008     .0488836    .3267659
  _Ideptid_2 |   8.258144   2.221708     3.72   0.000     3.903675    12.61261
  _Ideptid_3 |   10.72314   2.695882     3.98   0.000     5.439305    16.00697
  _Ideptid_4 |   13.22002   3.616714     3.66   0.000     6.131396    20.30865
  _Ideptid_5 |   9.379926   2.338241     4.01   0.000     4.797057    13.96279
  _Ideptid_6 |      3.009   1.267355     2.37   0.018     .5250306    5.492969
  _Ideptid_7 |   7.732128    2.33456     3.31   0.001     3.156474    12.30778
  _Ideptid_8 |   5.537911   2.522192     2.20   0.028      .594506    10.48132
  _Ideptid_9 |    7.29063   5.422891     1.34   0.179     -3.33804     17.9193
 _Ideptid_10 |  -6.890058   1.437918    -4.79   0.000    -9.708325   -4.071791
 _Ideptid_11 |   2.376526    1.42507     1.67   0.095      -.41656    5.169612
 _Ideptid_12 |  -10.16235   4.239112    -2.40   0.017    -18.47086   -1.853845
 _Ideptid_13 |    2.98429    1.49458     2.00   0.046     .0549681    5.913613
 _Ideptid_14 |   .1805988   2.036825     0.09   0.929    -3.811506    4.172703
 _Ideptid_15 |   2.651031   2.897826     0.91   0.360    -3.028604    8.330666
 _Ideptid_16 |  -14.78947   6.883082    -2.15   0.032    -28.28007   -1.298882
 _Ideptid_17 |   15.15803   10.95945     1.38   0.167    -6.322102    36.63816
 _Ideptid_18 |  -3.106903    1.26885    -2.45   0.014    -5.593803    -.620002
 _Ideptid_19 |   -5.69363   2.181132    -2.61   0.009    -9.968571   -1.418689
 _Ideptid_20 |   -3.87297   3.364447    -1.15   0.250    -10.46716    2.721225
 _Ideptid_21 |   2.038346   2.016211     1.01   0.312    -1.913355    5.990046
 _Ideptid_22 |   5.553744    1.55627     3.57   0.000     2.503511    8.603976
 _Ideptid_23 |  -5.892731   6.561686    -0.90   0.369     -18.7534    6.967937
 _Ideptid_24 |  (dropped)
 _Ideptid_25 |   1.242766   1.421278     0.87   0.382    -1.542888    4.028421
 _Ideptid_26 |    18.0659    4.78979     3.77   0.000     8.678083    27.45371
 _Ideptid_27 |   4.324199   2.060789     2.10   0.036     .2851274    8.363271
 _Ideptid_28 |  (dropped)
 _Ideptid_29 |   4.464237   1.649905     2.71   0.007     1.230483    7.697992
 _Ideptid_30 |    9.22247   2.779308     3.32   0.001     3.775127    14.66981
 _Ideptid_31 |  -13.66749   4.736352    -2.89   0.004    -22.95057   -4.384411
 _Ideptid_32 |  -2.640436   6.547115    -0.40   0.687    -15.47255    10.19167
-------------+----------------------------------------------------------------
         rho |   .1112848
------------------------------------------------------------------------------

. outreg l.spraykm2 l.g100000 l.corrupt100 l.pubinfra l.agroecon l.displaced l.rec100 l.
> roads l.poverty using completeresultsoutreg031307, se coefastr bdec(3) rdec(3) 3aster 
> nolabel ctitle(PW-1, pcse) sigsymb(*,**,***) append

. outreg l.spraykm2 l.g100000 l.corrupt100 l.pubinfra l.agroecon l.displaced l.rec100 l.
> roads l.poverty using completeresultsoutreg031307, beta coefastr bdec(3) rdec(3) 3aste
> r nolabel ctitle(PW-1 beta, pcse) sigsymb(*,**,***) append

. *CHOW TEST OF DUMMIES
. testparm _Idep*

 ( 1)  _Ideptid_2 = 0
 ( 2)  _Ideptid_3 = 0
 ( 3)  _Ideptid_4 = 0
 ( 4)  _Ideptid_5 = 0
 ( 5)  _Ideptid_6 = 0
 ( 6)  _Ideptid_7 = 0
 ( 7)  _Ideptid_8 = 0
 ( 8)  _Ideptid_9 = 0
 ( 9)  _Ideptid_10 = 0
 (10)  _Ideptid_11 = 0
 (11)  _Ideptid_12 = 0
 (12)  _Ideptid_13 = 0
 (13)  _Ideptid_14 = 0
 (14)  _Ideptid_15 = 0
 (15)  _Ideptid_16 = 0
 (16)  _Ideptid_17 = 0
 (17)  _Ideptid_18 = 0
 (18)  _Ideptid_19 = 0
 (19)  _Ideptid_20 = 0
 (20)  _Ideptid_21 = 0
 (21)  _Ideptid_22 = 0
 (22)  _Ideptid_23 = 0
 (23)  _Ideptid_24 = 0
 (24)  _Ideptid_25 = 0
 (25)  _Ideptid_26 = 0
 (26)  _Ideptid_27 = 0
 (27)  _Ideptid_28 = 0
 (28)  _Ideptid_29 = 0
 (29)  _Ideptid_30 = 0
 (30)  _Ideptid_31 = 0
 (31)  _Ideptid_32 = 0
       Constraint 23 dropped
       Constraint 27 dropped

           chi2( 29) =  249.23
         Prob > chi2 =    0.0000

. 
. xi: xtpcse cocax100 l.spraykm2 l.g100000 l.corrupt100 l.pubinfra l.agroecon l.displace
> d l.rec100 l.roads l.poverty l.poverty_2 i.deptid, het correlation(ar1) noc 
i.deptid          _Ideptid_1-32       (naturally coded; _Ideptid_1 omitted)

Prais-Winsten regression, heteroskedastic panels corrected standard errors

Group variable:   deptid                        Number of obs      =       160
Time variable:    year                          Number of groups   =        32
Panels:           heteroskedastic (balanced)    Obs per group: min =         5
Autocorrelation:  common AR(1)                                 avg =         5
                                                               max =         5
Estimated covariances      =        32          R-squared          =    0.9094
Estimated autocorrelations =         1          Wald chi2(38)      =    492.82
Estimated coefficients     =        38          Prob > chi2        =    0.0000

------------------------------------------------------------------------------
             |            Het-corrected
    cocax100 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    spraykm2 |
         L1. |   -.048307   2.048662    -0.02   0.981    -4.063611    3.966997
     g100000 |
         L1. |   -.000513   .0003475    -1.48   0.140     -.001194     .000168
  corrupt100 |
         L1. |   .1198792   .0851848     1.41   0.159      -.04708    .2868384
    pubinfra |
         L1. |  -4.955942   1.705845    -2.91   0.004    -8.299338   -1.612547
    agroecon |
         L1. |   4.736136   1.026774     4.61   0.000     2.723695    6.748576
   displaced |
         L1. |  -133.6465   57.19514    -2.34   0.019     -245.747   -21.54613
      rec100 |
         L1. |   7.784618   9.255438     0.84   0.400    -10.35571    25.92494
       roads |
         L1. |  -.3016392   .0851162    -3.54   0.000    -.4684638   -.1348146
     poverty |
         L1. |   .7563125    .312046     2.42   0.015     .1447135    1.367911
   poverty_2 |
         L1. |   -.007234   .0033667    -2.15   0.032    -.0138326   -.0006353
  _Ideptid_2 |   6.356502   1.821603     3.49   0.000     2.786224    9.926779
  _Ideptid_3 |   6.855925   2.712678     2.53   0.011     1.539172    12.17268
  _Ideptid_4 |   11.83059   3.143546     3.76   0.000     5.669354    17.99183
  _Ideptid_5 |   9.038376   2.226917     4.06   0.000     4.673699    13.40305
  _Ideptid_6 |  -2.493988   2.016905    -1.24   0.216     -6.44705    1.459073
  _Ideptid_7 |   6.745342   2.021343     3.34   0.001     2.783583     10.7071
  _Ideptid_8 |   3.071107   2.811225     1.09   0.275    -2.438793    8.581006
  _Ideptid_9 |   5.210451   5.318728     0.98   0.327    -5.214065    15.63497
 _Ideptid_10 |  -12.98453   3.726851    -3.48   0.000    -20.28902   -5.680035
 _Ideptid_11 |   .9765278   1.355702     0.72   0.471      -1.6806    3.633656
 _Ideptid_12 |  -7.596287   4.057394    -1.87   0.061    -15.54863      .35606
 _Ideptid_13 |   5.181092   2.236401     2.32   0.021     .7978267    9.564358
 _Ideptid_14 |  -2.806994   2.011591    -1.40   0.163     -6.74964    1.135651
 _Ideptid_15 |   3.578276   3.158462     1.13   0.257    -2.612195    9.768746
 _Ideptid_16 |  (dropped)
 _Ideptid_17 |   15.48454   10.87357     1.42   0.154    -5.827254    36.79634
 _Ideptid_18 |  -8.605821   2.897626    -2.97   0.003    -14.28506   -2.926579
 _Ideptid_19 |  -10.16793   3.497748    -2.91   0.004    -17.02339   -3.312468
 _Ideptid_20 |  -10.05595   5.069723    -1.98   0.047    -19.99243   -.1194747
 _Ideptid_21 |   -.174511   2.161039    -0.08   0.936    -4.410069    4.061047
 _Ideptid_22 |   1.531053   1.968878     0.78   0.437    -2.327876    5.389983
 _Ideptid_23 |  -5.606461   6.489647    -0.86   0.388    -18.32594    7.113014
 _Ideptid_24 |  (dropped)
 _Ideptid_25 |  -2.693063   1.678352    -1.60   0.109    -5.982573    .5964468
 _Ideptid_26 |   16.42147   4.280975     3.84   0.000     8.030916    24.81203
 _Ideptid_27 |   .1371546   1.979792     0.07   0.945    -3.743166    4.017475
 _Ideptid_28 |  (dropped)
 _Ideptid_29 |   2.694783    1.33496     2.02   0.044     .0783096    5.311257
 _Ideptid_30 |   8.984057   2.701261     3.33   0.001     3.689682    14.27843
 _Ideptid_31 |   .9194623   4.749242     0.19   0.846    -8.388881    10.22781
 _Ideptid_32 |   3.400963    5.23514     0.65   0.516    -6.859722    13.66165
-------------+----------------------------------------------------------------
         rho |   .1112848
------------------------------------------------------------------------------

. outreg l.spraykm2 l.g100000 l.corrupt100 l.pubinfra l.agroecon l.displaced l.rec100 l.
> roads l.poverty l.poverty_2 using completeresultsoutreg031307, se coefastr bdec(3) rde
> c(3) 3aster nolabel ctitle(PW2, pcse) sigsymb(*,**,***) append

. outreg l.spraykm2 l.g100000 l.corrupt100 l.pubinfra l.agroecon l.displaced l.rec100 l.
> roads l.poverty l.poverty_2 using completeresultsoutreg031307, beta coefastr bdec(3) r
> dec(3) 3aster nolabel ctitle(PW2 beta, pcse) sigsymb(*,**,***) append

. *CHOW TEST OF DUMMIES
. testparm _Idep*

 ( 1)  _Ideptid_2 = 0
 ( 2)  _Ideptid_3 = 0
 ( 3)  _Ideptid_4 = 0
 ( 4)  _Ideptid_5 = 0
 ( 5)  _Ideptid_6 = 0
 ( 6)  _Ideptid_7 = 0
 ( 7)  _Ideptid_8 = 0
 ( 8)  _Ideptid_9 = 0
 ( 9)  _Ideptid_10 = 0
 (10)  _Ideptid_11 = 0
 (11)  _Ideptid_12 = 0
 (12)  _Ideptid_13 = 0
 (13)  _Ideptid_14 = 0
 (14)  _Ideptid_15 = 0
 (15)  _Ideptid_16 = 0
 (16)  _Ideptid_17 = 0
 (17)  _Ideptid_18 = 0
 (18)  _Ideptid_19 = 0
 (19)  _Ideptid_20 = 0
 (20)  _Ideptid_21 = 0
 (21)  _Ideptid_22 = 0
 (22)  _Ideptid_23 = 0
 (23)  _Ideptid_24 = 0
 (24)  _Ideptid_25 = 0
 (25)  _Ideptid_26 = 0
 (26)  _Ideptid_27 = 0
 (27)  _Ideptid_28 = 0
 (28)  _Ideptid_29 = 0
 (29)  _Ideptid_30 = 0
 (30)  _Ideptid_31 = 0
 (31)  _Ideptid_32 = 0
       Constraint 15 dropped
       Constraint 23 dropped
       Constraint 27 dropped

           chi2( 28) =  190.47
         Prob > chi2 =    0.0000

. 
. xi: xtpcse cocax100 l.spraykm2 l.g100000 l.corrupt100 l.pubinfra l.agroecon l.displace
> d l.rec100 l.roads l.poverty l.displaced_2 i.deptid, het correlation(ar1) noc 
i.deptid          _Ideptid_1-32       (naturally coded; _Ideptid_1 omitted)

Prais-Winsten regression, heteroskedastic panels corrected standard errors

Group variable:   deptid                        Number of obs      =       160
Time variable:    year                          Number of groups   =        32
Panels:           heteroskedastic (balanced)    Obs per group: min =         5
Autocorrelation:  common AR(1)                                 avg =         5
                                                               max =         5
Estimated covariances      =        32          R-squared          =    0.9226
Estimated autocorrelations =         1          Wald chi2(39)      =    688.71
Estimated coefficients     =        39          Prob > chi2        =    0.0000

------------------------------------------------------------------------------
             |            Het-corrected
    cocax100 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    spraykm2 |
         L1. |   1.774984   2.908674     0.61   0.542    -3.925912     7.47588
     g100000 |
         L1. |  -.0003584   .0003311    -1.08   0.279    -.0010074    .0002906
  corrupt100 |
         L1. |   .2147502   .0789204     2.72   0.007     .0600691    .3694313
    pubinfra |
         L1. |  -5.341792   1.671391    -3.20   0.001    -8.617658   -2.065927
    agroecon |
         L1. |   5.078277   .9504688     5.34   0.000     3.215392    6.941161
   displaced |
         L1. |   37.44829   76.20714     0.49   0.623     -111.915    186.8115
      rec100 |
         L1. |   1.496489   9.415593     0.16   0.874    -16.95773    19.95071
       roads |
         L1. |  -.2327171    .041753    -5.57   0.000    -.3145514   -.1508828
     poverty |
         L1. |   .1089461   .0674037     1.62   0.106    -.0231627    .2410549
 displaced_2 |
         L1. |  -1713.841    1108.75    -1.55   0.122    -3886.951    459.2698
  _Ideptid_2 |     7.0674   2.283752     3.09   0.002     2.591329    11.54347
  _Ideptid_3 |   8.097081   2.440394     3.32   0.001     3.313997    12.88016
  _Ideptid_4 |    13.7044   3.533089     3.88   0.000     6.779673    20.62913
  _Ideptid_5 |     7.6655    2.49202     3.08   0.002      2.78123    12.54977
  _Ideptid_6 |   3.379159   1.244216     2.72   0.007     .9405409    5.817777
  _Ideptid_7 |   7.122832   2.455891     2.90   0.004     2.309374    11.93629
  _Ideptid_8 |   2.681994    2.06583     1.30   0.194    -1.366959    6.730947
  _Ideptid_9 |    4.15972   5.054349     0.82   0.411    -5.746622    14.06606
 _Ideptid_10 |  -8.312725   1.301866    -6.39   0.000    -10.86434   -5.761114
 _Ideptid_11 |   .5645789   1.296795     0.44   0.663    -1.977092     3.10625
 _Ideptid_12 |  -14.88803   3.167633    -4.70   0.000    -21.09648   -8.679583
 _Ideptid_13 |    3.64992   1.241202     2.94   0.003     1.217209    6.082631
 _Ideptid_14 |   -1.52207   2.099343    -0.73   0.468    -5.636706    2.592566
 _Ideptid_15 |    .086014   3.008198     0.03   0.977    -5.809946    5.981973
 _Ideptid_16 |  -11.89445   6.974681    -1.71   0.088    -25.56457    1.775677
 _Ideptid_17 |   11.55983   9.593754     1.20   0.228    -7.243582    30.36324
 _Ideptid_18 |   -4.10694   1.182504    -3.47   0.001    -6.424605   -1.789275
 _Ideptid_19 |  -8.360502   1.661616    -5.03   0.000    -11.61721   -5.103794
 _Ideptid_20 |  -8.160949   2.807782    -2.91   0.004     -13.6641   -2.657798
 _Ideptid_21 |   2.403609   1.857962     1.29   0.196    -1.237929    6.045147
 _Ideptid_22 |   4.956105     1.7313     2.86   0.004     1.562818    8.349391
 _Ideptid_23 |  -10.61223   5.636881    -1.88   0.060    -21.66032     .435852
 _Ideptid_24 |  (dropped)
 _Ideptid_25 |    .389655   1.461212     0.27   0.790    -2.474268    3.253579
 _Ideptid_26 |   17.90218   4.701438     3.81   0.000     8.687527    27.11682
 _Ideptid_27 |   3.087369   2.055946     1.50   0.133    -.9422119    7.116949
 _Ideptid_28 |  (dropped)
 _Ideptid_29 |   3.944469   1.661896     2.37   0.018     .6872134    7.201725
 _Ideptid_30 |   8.411183   2.829822     2.97   0.003     2.864835    13.95753
 _Ideptid_31 |  -15.90134   4.267645    -3.73   0.000    -24.26577   -7.536905
 _Ideptid_32 |  -4.078021    6.21954    -0.66   0.512     -16.2681    8.112053
-------------+----------------------------------------------------------------
         rho |   .0476847
------------------------------------------------------------------------------

. outreg l.spraykm2 l.g100000 l.corrupt100 l.pubinfra l.agroecon l.displaced l.rec100 l.
> roads l.poverty l.displaced_2 using completeresultsoutreg031307, se coefastr bdec(3) r
> dec(3) 3aster nolabel ctitle(PW3 beta, pcse) sigsymb(*,**,***) append

. outreg l.spraykm2 l.g100000 l.corrupt100 l.pubinfra l.agroecon l.displaced l.rec100 l.
> roads l.poverty l.displaced_2 using completeresultsoutreg031307, beta coefastr bdec(3)
>  rdec(3) 3aster nolabel ctitle(PW3 beta, pcse) sigsymb(*,**,***) append

. *CHOW TEST OF DUMMIES
. testparm _Idep*

 ( 1)  _Ideptid_2 = 0
 ( 2)  _Ideptid_3 = 0
 ( 3)  _Ideptid_4 = 0
 ( 4)  _Ideptid_5 = 0
 ( 5)  _Ideptid_6 = 0
 ( 6)  _Ideptid_7 = 0
 ( 7)  _Ideptid_8 = 0
 ( 8)  _Ideptid_9 = 0
 ( 9)  _Ideptid_10 = 0
 (10)  _Ideptid_11 = 0
 (11)  _Ideptid_12 = 0
 (12)  _Ideptid_13 = 0
 (13)  _Ideptid_14 = 0
 (14)  _Ideptid_15 = 0
 (15)  _Ideptid_16 = 0
 (16)  _Ideptid_17 = 0
 (17)  _Ideptid_18 = 0
 (18)  _Ideptid_19 = 0
 (19)  _Ideptid_20 = 0
 (20)  _Ideptid_21 = 0
 (21)  _Ideptid_22 = 0
 (22)  _Ideptid_23 = 0
 (23)  _Ideptid_24 = 0
 (24)  _Ideptid_25 = 0
 (25)  _Ideptid_26 = 0
 (26)  _Ideptid_27 = 0
 (27)  _Ideptid_28 = 0
 (28)  _Ideptid_29 = 0
 (29)  _Ideptid_30 = 0
 (30)  _Ideptid_31 = 0
 (31)  _Ideptid_32 = 0
       Constraint 23 dropped
       Constraint 27 dropped

           chi2( 29) =  395.84
         Prob > chi2 =    0.0000

. 
. xi: xtpcse cocax100 l.spraykm2 l.g100000 l.corrupt100 l.pubinfra l.agroecon l.displace
> d l.rec100 l.roads l.poverty l.receipt_2 i.deptid, het correlation(ar1) noc 
i.deptid          _Ideptid_1-32       (naturally coded; _Ideptid_1 omitted)

Prais-Winsten regression, heteroskedastic panels corrected standard errors

Group variable:   deptid                        Number of obs      =       160
Time variable:    year                          Number of groups   =        32
Panels:           heteroskedastic (balanced)    Obs per group: min =         5
Autocorrelation:  common AR(1)                                 avg =         5
                                                               max =         5
Estimated covariances      =        32          R-squared          =    0.9117
Estimated autocorrelations =         1          Wald chi2(39)      =    517.24
Estimated coefficients     =        39          Prob > chi2        =    0.0000

------------------------------------------------------------------------------
             |            Het-corrected
    cocax100 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    spraykm2 |
         L1. |   .5042152   2.124885     0.24   0.812    -3.660484    4.668914
     g100000 |
         L1. |  -.0004218   .0003578    -1.18   0.238    -.0011231    .0002795
  corrupt100 |
         L1. |   .1803208   .1044693     1.73   0.084    -.0244353    .3850769
    pubinfra |
         L1. |  -5.128605   1.745332    -2.94   0.003    -8.549394   -1.707816
    agroecon |
         L1. |   4.738624   1.006477     4.71   0.000     2.765965    6.711283
   displaced |
         L1. |  -198.3246   83.12361    -2.39   0.017    -361.2439   -35.40528
      rec100 |
         L1. |   103.4318   84.67973     1.22   0.222     -62.5374    269.4011
       roads |
         L1. |  -.2166314   .0495451    -4.37   0.000    -.3137381   -.1195248
     poverty |
         L1. |   .1303196   .0778815     1.67   0.094    -.0223253    .2829645
   receipt_2 |
         L1. |  -101.4349    86.8036    -1.17   0.243    -271.5668    68.69705
  _Ideptid_2 |   8.438419   2.267659     3.72   0.000     3.993888    12.88295
  _Ideptid_3 |   11.23763   2.770502     4.06   0.000     5.807541    16.66771
  _Ideptid_4 |   12.45184   3.574333     3.48   0.000     5.446273     19.4574
  _Ideptid_5 |   9.780471   2.407444     4.06   0.000     5.061968    14.49898
  _Ideptid_6 |   3.225474   1.305477     2.47   0.013      .666785    5.784162
  _Ideptid_7 |   7.787858   2.379009     3.27   0.001     3.125085    12.45063
  _Ideptid_8 |   6.479921   2.765213     2.34   0.019     1.060202    11.89964
  _Ideptid_9 |   7.151886   5.434763     1.32   0.188    -3.500054    17.80383
 _Ideptid_10 |  -6.866261    1.42085    -4.83   0.000    -9.651076   -4.081446
 _Ideptid_11 |   2.934589   1.512447     1.94   0.052    -.0297535    5.898931
 _Ideptid_12 |  -10.67237    4.30393    -2.48   0.013    -19.10792   -2.236825
 _Ideptid_13 |    3.87963   1.618727     2.40   0.017     .7069837    7.052276
 _Ideptid_14 |  -.5345607   2.171939    -0.25   0.806    -4.791484    3.722362
 _Ideptid_15 |   2.691673   2.934174     0.92   0.359    -3.059203     8.44255
 _Ideptid_16 |  -33.66665   18.92315    -1.78   0.075    -70.75535    3.422048
 _Ideptid_17 |   16.12585   10.67432     1.51   0.131    -4.795439    37.04714
 _Ideptid_18 |  -3.479643   1.326207    -2.62   0.009    -6.078961   -.8803249
 _Ideptid_19 |  -5.717402   2.115552    -2.70   0.007    -9.863808   -1.570995
 _Ideptid_20 |  -5.144443   3.650835    -1.41   0.159    -12.29995    2.011062
 _Ideptid_21 |   2.780486   1.936093     1.44   0.151    -1.014187    6.575159
 _Ideptid_22 |   6.231851   1.609913     3.87   0.000     3.076479    9.387222
 _Ideptid_23 |  -4.874989   6.294548    -0.77   0.439    -17.21208    7.462099
 _Ideptid_24 |  (dropped)
 _Ideptid_25 |   .5177069   1.563428     0.33   0.741    -2.546556     3.58197
 _Ideptid_26 |    17.4601    4.71345     3.70   0.000     8.221903    26.69829
 _Ideptid_27 |   3.595443   2.146918     1.67   0.094    -.6124394    7.803324
 _Ideptid_28 |  (dropped)
 _Ideptid_29 |   5.349206   1.926364     2.78   0.005     1.573602    9.124809
 _Ideptid_30 |   8.671241   2.796621     3.10   0.002     3.189964    14.15252
 _Ideptid_31 |   -13.2442   4.656317    -2.84   0.004    -22.37041   -4.117986
 _Ideptid_32 |  -1.065585   6.338074    -0.17   0.866    -13.48798    11.35681
-------------+----------------------------------------------------------------
         rho |   .1001661
------------------------------------------------------------------------------

. outreg l.spraykm2 l.g100000 l.corrupt100 l.pubinfra l.agroecon l.displaced l.rec100 l.
> roads l.poverty l.receipt_2 using completeresultsoutreg031307, se coefastr bdec(3) rde
> c(3) 3aster nolabel ctitle(PW4, pcse) sigsymb(*,**,***) append

. outreg l.spraykm2 l.g100000 l.corrupt100 l.pubinfra l.agroecon l.displaced l.rec100 l.
> roads l.poverty l.receipt_2 using completeresultsoutreg031307, beta coefastr bdec(3) r
> dec(3) 3aster nolabel ctitle(PW4 beta, pcse) sigsymb(*,**,***) append

. *CHOW TEST OF DUMMIES
. testparm _Idep*

 ( 1)  _Ideptid_2 = 0
 ( 2)  _Ideptid_3 = 0
 ( 3)  _Ideptid_4 = 0
 ( 4)  _Ideptid_5 = 0
 ( 5)  _Ideptid_6 = 0
 ( 6)  _Ideptid_7 = 0
 ( 7)  _Ideptid_8 = 0
 ( 8)  _Ideptid_9 = 0
 ( 9)  _Ideptid_10 = 0
 (10)  _Ideptid_11 = 0
 (11)  _Ideptid_12 = 0
 (12)  _Ideptid_13 = 0
 (13)  _Ideptid_14 = 0
 (14)  _Ideptid_15 = 0
 (15)  _Ideptid_16 = 0
 (16)  _Ideptid_17 = 0
 (17)  _Ideptid_18 = 0
 (18)  _Ideptid_19 = 0
 (19)  _Ideptid_20 = 0
 (20)  _Ideptid_21 = 0
 (21)  _Ideptid_22 = 0
 (22)  _Ideptid_23 = 0
 (23)  _Ideptid_24 = 0
 (24)  _Ideptid_25 = 0
 (25)  _Ideptid_26 = 0
 (26)  _Ideptid_27 = 0
 (27)  _Ideptid_28 = 0
 (28)  _Ideptid_29 = 0
 (29)  _Ideptid_30 = 0
 (30)  _Ideptid_31 = 0
 (31)  _Ideptid_32 = 0
       Constraint 23 dropped
       Constraint 27 dropped

           chi2( 29) =  247.65
         Prob > chi2 =    0.0000

. 
. save "C:\WORK\Research-ArticlesInProgress\Colombia coca cultivation with Cate Russler\
> data\20070312\newcsts031307.dta", replace
(note: file C:\WORK\Research-ArticlesInProgress\Colombia coca cultivation with Cate Russ
> ler\data\20070312\newcsts031307.dta not found)
file C:\WORK\Research-ArticlesInProgress\Colombia coca cultivation with Cate Russler\dat
> a\20070312\newcsts031307.dta saved

. 
. ***BEGIN JACKKNIFE CODE*****
. 
. tsset deptid year, yearly
       panel variable:  deptid, 1 to 32
        time variable:  year, 2000 to 2005

. xi:jackknife esamp=(160-e(N)) _b _se id=_n(deptid), saving (jackknife1, replace) cl(de
> ptid) :xtpcse cocax100 l.cocax100 l.spraykm2 l.g100000 l.corrupt100 l.pubinfra l.agroe
> con l.displaced l.rec100 l.roads l.poverty i.deptid, het noc 
i.deptid          _Ideptid_1-32       (naturally coded; _Ideptid_1 omitted)
(running xtpcse on estimation sample)
(note: file jackknife1.dta not found)

Jackknife replications (32)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
................................

Jackknife results                               Number of obs      =       128
                                                Number of clusters =        32
                                                Replications       =        32

      command:  xtpcse cocax100 l.cocax100 l.spraykm2 l.g100000 l.corrupt100
                    l.pubinfra l.agroecon l.displaced l.rec100 l.roads l.poverty
                    _Ideptid_*, het noc
  [_eq2]esamp:  160-e(N)
     [_eq2]id:  _n
  [_eq2]_jk_3:  deptid
          n():  e(N)

------------------------------------------------------------------------------
             |              Jackknife
             |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
b            |
    cocax100 |
         L1. |   .6406934   .5338946     1.20   0.239    -.4481919    1.729579
    spraykm2 |
         L1. |   .1874004   5.330205     0.04   0.972    -10.68362    11.05842
     g100000 |
         L1. |   .0002632   .0007039     0.37   0.711    -.0011725    .0016988
  corrupt100 |
         L1. |  -.3052557   1.249038    -0.24   0.809    -2.852684    2.242173
    pubinfra |
         L1. |  -3.069314   3.982392    -0.77   0.447    -11.19146    5.052828
    agroecon |
         L1. |  -.6671748   1.344437    -0.50   0.623    -3.409173    2.074823
   displaced |
         L1. |  -118.7363   171.8145    -0.69   0.495    -469.1544    231.6817
      rec100 |
         L1. |   18.50158   177.3246     0.10   0.918    -343.1542    380.1574
       roads |
         L1. |  -.1532667    .357772    -0.43   0.671    -.8829475    .5764142
     poverty |
         L1. |   .4913822   1.296565     0.38   0.707     -2.15298    3.135744
  _Ideptid_2 |   10.81006   27.00451     0.40   0.692    -44.26599    65.88611
  _Ideptid_3 |   9.681359   18.55009     0.52   0.605    -28.15181    47.51452
  _Ideptid_4 |   12.70084   34.39845     0.37   0.714    -57.45526    82.85694
  _Ideptid_5 |   7.257987   21.91878     0.33   0.743    -37.44565    51.96163
  _Ideptid_6 |   2.873511   11.92592     0.24   0.811    -21.44955    27.19658
  _Ideptid_7 |   14.47084   34.33452     0.42   0.676    -55.55488    84.49655
  _Ideptid_8 |   4.226257   12.28427     0.34   0.733    -20.82767    29.28018
  _Ideptid_9 |          0   25.15189     0.00   1.000    -51.29762    51.29762
 _Ideptid_10 |  -5.372781   10.22515    -0.53   0.603    -26.22711    15.48155
 _Ideptid_11 |   2.703316   17.56889     0.15   0.879    -33.12867     38.5353
 _Ideptid_12 |  -7.133082   14.61741    -0.49   0.629    -36.94548    22.67931
 _Ideptid_13 |  -2.347952   22.25577    -0.11   0.917     -47.7389    43.04299
 _Ideptid_14 |   13.73702   33.48245     0.41   0.684    -54.55089    82.02492
 _Ideptid_15 |   5.131345   21.09801     0.24   0.809    -37.89832    48.16102
 _Ideptid_16 |  -31.75643   66.77915    -0.48   0.638    -167.9534    104.4406
 _Ideptid_17 |          0   37.97534     0.00   1.000    -77.45122    77.45122
 _Ideptid_18 |   4.766169   13.45958     0.35   0.726    -22.68482    32.21716
 _Ideptid_19 |   .6314371   7.834921     0.08   0.936    -15.34799    16.61086
 _Ideptid_20 |   10.69063   19.89394     0.54   0.595    -29.88333    51.26459
 _Ideptid_21 |  -2.214274   22.95912    -0.10   0.924    -49.03972    44.61117
 _Ideptid_22 |   3.722932   17.82452     0.21   0.836    -32.63042    40.07629
 _Ideptid_23 |  -11.89938   29.35923    -0.41   0.688    -71.77793    47.97917
 _Ideptid_24 |   15.59979   35.07684     0.44   0.660    -55.93989    87.13948
 _Ideptid_25 |   9.319579   23.30905     0.40   0.692    -38.21955    56.85871
 _Ideptid_26 |   13.79836   34.23929     0.40   0.690    -56.03313    83.62986
 _Ideptid_27 |   8.436503   22.09713     0.38   0.705    -36.63089    53.50389
 _Ideptid_28 |  -6.264836   26.26114    -0.24   0.813    -59.82478    47.29511
 _Ideptid_29 |   10.34071   26.87057     0.38   0.703    -44.46216    65.14359
 _Ideptid_30 |   16.30593   38.94904     0.42   0.678    -63.13116    95.74302
 _Ideptid_31 |  -19.11886   43.78098    -0.44   0.665    -108.4108    70.17304
 _Ideptid_32 |  -16.68492   57.27341    -0.29   0.773    -133.4948     100.125
-------------+----------------------------------------------------------------
se           |
    cocax100 |
         L1. |   .2139642   .1327445     1.61   0.117    -.0567701    .4846984
    spraykm2 |
         L1. |   2.290278   2.289933     1.00   0.325    -2.380071    6.960627
     g100000 |
         L1. |   .0003633   .0002533     1.43   0.161    -.0001532    .0008799
  corrupt100 |
         L1. |   .3675908    .488612     0.75   0.458      -.62894    1.364122
    pubinfra |
         L1. |   1.829263   1.258071     1.45   0.156    -.7365902    4.395117
    agroecon |
         L1. |   .8346204   .8172234     1.02   0.315    -.8321177    2.501359
   displaced |
         L1. |   55.91076   72.19099     0.77   0.445    -91.32372    203.1452
      rec100 |
         L1. |   9.885295   114.7175     0.09   0.932    -224.0826    243.8532
       roads |
         L1. |   .0969587   .0885896     1.09   0.282    -.0837209    .2776383
     poverty |
         L1. |   .3765722   .5616627     0.67   0.508    -.7689465    1.522091
  _Ideptid_2 |   5.869558   7.849219     0.75   0.460    -10.13903    21.87815
  _Ideptid_3 |   4.042756    4.80502     0.84   0.407    -5.757147    13.84266
  _Ideptid_4 |   8.741304   14.09365     0.62   0.540    -20.00289     37.4855
  _Ideptid_5 |   4.799227   6.299415     0.76   0.452    -8.048513    17.64697
  _Ideptid_6 |    2.24068   3.059493     0.73   0.469    -3.999198    8.480558
  _Ideptid_7 |   8.313273   12.84583     0.65   0.522    -17.88598    34.51252
  _Ideptid_8 |   2.338789   3.572257     0.65   0.517    -4.946878    9.624455
  _Ideptid_9 |          0   10.51754     0.00   1.000    -21.45066    21.45066
 _Ideptid_10 |   2.732845   3.803518     0.72   0.478    -5.024481    10.49017
 _Ideptid_11 |   3.232905   5.584835     0.58   0.567    -8.157441    14.62325
 _Ideptid_12 |   5.486016   7.915139     0.69   0.493    -10.65702    21.62905
 _Ideptid_13 |     5.0393   9.328528     0.54   0.593    -13.98636    24.06496
 _Ideptid_14 |   8.501647   13.67668     0.62   0.539    -19.39212    36.39541
 _Ideptid_15 |   6.144257   9.795805     0.63   0.535    -13.83442    26.12293
 _Ideptid_16 |   14.51154    29.8239     0.49   0.630     -46.3147    75.33778
 _Ideptid_17 |          0   20.41827     0.00   1.000    -41.64334    41.64334
 _Ideptid_18 |   3.098618    4.44658     0.70   0.491    -5.970242    12.16748
 _Ideptid_19 |   2.231974   3.154914     0.71   0.485    -4.202515    8.666464
 _Ideptid_20 |   6.659005   9.598292     0.69   0.493    -12.91684    26.23485
 _Ideptid_21 |   6.579815   9.879327     0.67   0.510    -13.56921    26.72884
 _Ideptid_22 |   4.612087   6.410995     0.72   0.477    -8.463222     17.6874
 _Ideptid_23 |   8.238213   10.46095     0.79   0.437    -13.09703    29.57346
 _Ideptid_24 |   8.827003   13.47662     0.65   0.517    -18.65875    36.31275
 _Ideptid_25 |   5.870964   9.418379     0.62   0.538    -13.33795    25.07988
 _Ideptid_26 |   9.891526   16.83635     0.59   0.561    -24.44645     44.2295
 _Ideptid_27 |    5.37409   8.980943     0.60   0.554    -12.94266    23.69084
 _Ideptid_28 |   7.068813   11.96192     0.59   0.559    -17.32768    31.46531
 _Ideptid_29 |   6.016918   7.544622     0.80   0.431     -9.37044    21.40428
 _Ideptid_30 |    9.65847   15.56391     0.62   0.539    -22.08433    41.40127
 _Ideptid_31 |   10.43262   15.31471     0.68   0.501    -20.80194    41.66718
 _Ideptid_32 |   13.13091    20.1054     0.65   0.519    -27.87432    54.13615
-------------+----------------------------------------------------------------
_eq2         |
       esamp |         32          .        .       .            .           .
          id |          1          .        .       .            .           .
       _jk_3 |          1          .        .       .            .           .
------------------------------------------------------------------------------

. 
. xi:jackknife esamp=(160-e(N)) _b _se id=_n(deptid), saving (jackknife2, replace) cl(de
> ptid) :xtpcse cocax100 l.cocax100 l.spraykm2 l.g100000 l.corrupt100 l.pubinfra l.agroe
> con l.displaced l.rec100 l.roads l.poverty l.poverty_2 i.deptid, het noc 
i.deptid          _Ideptid_1-32       (naturally coded; _Ideptid_1 omitted)
(running xtpcse on estimation sample)
(note: file jackknife2.dta not found)

Jackknife replications (32)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
................................

Jackknife results                               Number of obs      =       128
                                                Number of clusters =        32
                                                Replications       =        32

      command:  xtpcse cocax100 l.cocax100 l.spraykm2 l.g100000 l.corrupt100
                    l.pubinfra l.agroecon l.displaced l.rec100 l.roads l.poverty
                    l.poverty_2 _Ideptid_*, het noc
  [_eq2]esamp:  160-e(N)
     [_eq2]id:  _n
  [_eq2]_jk_3:  deptid
          n():  e(N)

------------------------------------------------------------------------------
             |              Jackknife
             |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
b            |
    cocax100 |
         L1. |   .6406934   .5338946     1.20   0.239    -.4481919    1.729579
    spraykm2 |
         L1. |   .1874004   5.330205     0.04   0.972    -10.68362    11.05842
     g100000 |
         L1. |   .0002632   .0007039     0.37   0.711    -.0011725    .0016988
  corrupt100 |
         L1. |  -.1443434   .4720442    -0.31   0.762    -1.107084     .818397
    pubinfra |
         L1. |  -3.069314   3.982392    -0.77   0.447    -11.19146    5.052828
    agroecon |
         L1. |  -.6671748   1.344437    -0.50   0.623    -3.409173    2.074823
   displaced |
         L1. |  -118.7363   171.8145    -0.69   0.495    -469.1544    231.6817
      rec100 |
         L1. |   18.50158   177.3246     0.10   0.918    -343.1542    380.1574
       roads |
         L1. |   -.429627   .5603248    -0.77   0.449    -1.572417    .7131631
     poverty |
         L1. |   1.644869   2.288585     0.72   0.478     -3.02273    6.312469
   poverty_2 |
         L1. |  -.0156411   .0218921    -0.71   0.480    -.0602904    .0290082
  _Ideptid_2 |   11.01341   19.54797     0.56   0.577    -28.85493    50.88175
  _Ideptid_3 |   4.304612   9.166257     0.47   0.642    -14.39009    22.99932
  _Ideptid_4 |   12.97467   24.71769     0.52   0.603    -37.43739    63.38673
  _Ideptid_5 |   10.25572   18.68071     0.55   0.587    -27.84385    48.35529
  _Ideptid_6 |  -6.885229   11.82123    -0.58   0.564     -30.9948    17.22434
  _Ideptid_7 |   16.14481   28.24473     0.57   0.572    -41.46069    73.75031
  _Ideptid_8 |   1.171865   6.574737     0.18   0.860     -12.2374    14.58113
  _Ideptid_9 |          0   1.218939     0.00   1.000    -2.486043    2.486043
 _Ideptid_10 |  -18.35961   27.38607    -0.67   0.508    -74.21387    37.49465
 _Ideptid_11 |   3.327132   8.681448     0.38   0.704     -14.3788    21.03306
 _Ideptid_12 |  -4.075038   9.443506    -0.43   0.669    -23.33519    15.18512
 _Ideptid_13 |   6.702569   13.65044     0.49   0.627    -21.13768    34.54282
 _Ideptid_14 |   9.241147   19.37053     0.48   0.637    -30.26532    48.74761
 _Ideptid_15 |   7.963391   18.42087     0.43   0.669    -29.60622      45.533
 _Ideptid_16 |          0   20.82628     0.00   1.000    -42.47548    42.47548
 _Ideptid_17 |          0   18.87089     0.00   1.000    -38.48744    38.48744
 _Ideptid_18 |  -5.476853   10.44512    -0.52   0.604    -26.77982    15.82611
 _Ideptid_19 |  -7.692353   13.06361    -0.59   0.560    -34.33577    18.95106
 _Ideptid_20 |   -2.60749   11.24639    -0.23   0.818    -25.54466    20.32968
 _Ideptid_21 |  -2.985321   11.00963    -0.27   0.788     -25.4396    19.46896
 _Ideptid_22 |  -1.024787    10.3717    -0.10   0.922    -22.17801    20.12843
 _Ideptid_23 |  -12.33707   23.32388    -0.53   0.601    -59.90645     35.2323
 _Ideptid_24 |   19.85873   33.71006     0.59   0.560    -48.89339    88.61085
 _Ideptid_25 |   2.492937   9.816496     0.25   0.801    -17.52794    22.51381
 _Ideptid_26 |   12.88235   25.13508     0.51   0.612    -38.38099    64.14569
 _Ideptid_27 |   1.444584   8.226676     0.18   0.862    -15.33383      18.223
 _Ideptid_28 |  -2.369462   7.991297    -0.30   0.769    -18.66782     13.9289
 _Ideptid_29 |   11.08864   20.49622     0.54   0.592    -30.71368    52.89097
 _Ideptid_30 |   19.20893   33.20636     0.58   0.567     -48.5159    86.93375
 _Ideptid_31 |   9.950341   25.12598     0.40   0.695    -41.29443    61.19511
 _Ideptid_32 |  -3.621888   24.27495    -0.15   0.882    -53.13098    45.88721
-------------+----------------------------------------------------------------
se           |
    cocax100 |
         L1. |   .2139642   .1327445     1.61   0.117    -.0567701    .4846984
    spraykm2 |
         L1. |   2.290278   2.289933     1.00   0.325    -2.380071    6.960627
     g100000 |
         L1. |   .0003633   .0002533     1.43   0.161    -.0001532    .0008799
  corrupt100 |
         L1. |    .306156   .3489345     0.88   0.387    -.4055006    1.017813
    pubinfra |
         L1. |   1.829263   1.258071     1.45   0.156    -.7365902    4.395117
    agroecon |
         L1. |   .8346204   .8172234     1.02   0.315    -.8321177    2.501359
   displaced |
         L1. |   55.91076   72.19099     0.77   0.445    -91.32372    203.1452
      rec100 |
         L1. |   9.885295   114.7175     0.09   0.932    -224.0826    243.8532
       roads |
         L1. |   .1959465   .2121081     0.92   0.363    -.2366508    .6285438
     poverty |
         L1. |   .8875956    .991385     0.90   0.378    -1.134347    2.909539
   poverty_2 |
         L1. |   .0071474   .0075788     0.94   0.353    -.0083096    .0226044
  _Ideptid_2 |   5.935289   8.584816     0.69   0.494    -11.57356    23.44414
  _Ideptid_3 |   2.840715   3.603921     0.79   0.437    -4.509532    10.19096
  _Ideptid_4 |   8.851592   12.54503     0.71   0.486    -16.73417    34.43735
  _Ideptid_5 |   5.758816   8.285607     0.70   0.492    -11.13979    22.65742
  _Ideptid_6 |   3.651833   5.366561     0.68   0.501    -7.293341    14.59701
  _Ideptid_7 |   8.957561   13.60096     0.66   0.515    -18.78178     36.6969
  _Ideptid_8 |   2.508677   3.264079     0.77   0.448    -4.148456     9.16581
  _Ideptid_9 |          0   2.434422     0.00   1.000    -4.965037    4.965037
 _Ideptid_10 |   8.315479   11.48882     0.72   0.475    -15.11612    31.74708
 _Ideptid_11 |   3.226365   4.804482     0.67   0.507    -6.572441    13.02517
 _Ideptid_12 |   5.240009   6.391157     0.82   0.419    -7.794842    18.27486
 _Ideptid_13 |   4.617642   7.029272     0.66   0.516    -9.718652    18.95394
 _Ideptid_14 |   6.691111   9.869282     0.68   0.503    -13.43742    26.81964
 _Ideptid_15 |   7.345519   9.458313     0.78   0.443    -11.94484    26.63588
 _Ideptid_16 |          0   13.95307     0.00   1.000    -28.45747    28.45747
 _Ideptid_17 |          0   10.95773     0.00   1.000    -22.34843    22.34843
 _Ideptid_18 |   3.024155   4.177974     0.72   0.475    -5.496879    11.54519
 _Ideptid_19 |   4.881083   6.262284     0.78   0.442    -7.890929     17.6531
 _Ideptid_20 |   3.326456   5.360677     0.62   0.539    -7.606716    14.25963
 _Ideptid_21 |   6.791005   9.851022     0.69   0.496    -13.30029     26.8823
 _Ideptid_22 |   5.330831   7.500494     0.71   0.483    -9.966528    20.62819
 _Ideptid_23 |    8.39401   10.52275     0.80   0.431    -13.06728     29.8553
 _Ideptid_24 |   10.30057   16.98945     0.61   0.549    -24.34965    44.95078
 _Ideptid_25 |   3.365374   4.625807     0.73   0.472    -6.069021    12.79977
 _Ideptid_26 |   9.502991   12.98058     0.73   0.470    -16.97108    35.97706
 _Ideptid_27 |   2.713585   3.376954     0.80   0.428    -4.173757    9.600927
 _Ideptid_28 |   5.752323   9.798824     0.59   0.561    -14.23251    25.73716
 _Ideptid_29 |   6.215339   9.651315     0.64   0.524    -13.46865    25.89933
 _Ideptid_30 |   10.85788   16.13978     0.67   0.506    -22.05941    43.77517
 _Ideptid_31 |   6.406943   15.59639     0.41   0.684     -25.4021    38.21598
 _Ideptid_32 |   8.011187   10.21821     0.78   0.439    -12.82899    28.85136
-------------+----------------------------------------------------------------
_eq2         |
       esamp |         32          .        .       .            .           .
          id |          1          .        .       .            .           .
       _jk_3 |          1          .        .       .            .           .
------------------------------------------------------------------------------

. 
. xi:jackknife esamp=(160-e(N)) _b _se id=_n(deptid), saving (jackknife3, replace) cl(de
> ptid) :xtpcse cocax100 l.cocax100 l.spraykm2 l.g100000 l.corrupt100 l.pubinfra l.agroe
> con l.displaced l.rec100 l.roads l.poverty l.displaced_2 i.deptid, het noc 
i.deptid          _Ideptid_1-32       (naturally coded; _Ideptid_1 omitted)
(running xtpcse on estimation sample)
(note: file jackknife3.dta not found)

Jackknife replications (32)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
................................

Jackknife results                               Number of obs      =       128
                                                Number of clusters =        32
                                                Replications       =        32

      command:  xtpcse cocax100 l.cocax100 l.spraykm2 l.g100000 l.corrupt100
                    l.pubinfra l.agroecon l.displaced l.rec100 l.roads l.poverty
                    l.displaced_2 _Ideptid_*, het noc
  [_eq2]esamp:  160-e(N)
     [_eq2]id:  _n
  [_eq2]_jk_3:  deptid
          n():  e(N)

------------------------------------------------------------------------------
             |              Jackknife
             |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
b            |
    cocax100 |
         L1. |   .7719117    .672973     1.15   0.260    -.6006257    2.144449
    spraykm2 |
         L1. |   2.916142   7.570796     0.39   0.703     -12.5246    18.35688
     g100000 |
         L1. |   .0006214   .0008785     0.71   0.485    -.0011703    .0024131
  corrupt100 |
         L1. |   .1499741   1.091983     0.14   0.892     -2.07714    2.377088
    pubinfra |
         L1. |  -2.763669   3.936303    -0.70   0.488    -10.79181    5.264474
    agroecon |
         L1. |  -.8099841   1.379398    -0.59   0.561    -3.623286    2.003318
   displaced |
         L1. |   85.81147   172.1158     0.50   0.622     -265.221     436.844
      rec100 |
         L1. |   14.35858   105.8281     0.14   0.893    -201.4793    230.1964
       roads |
         L1. |  -.2043145   .3467574    -0.59   0.560     -.911531    .5029019
     poverty |
         L1. |   .0812642   .9410386     0.09   0.932    -1.837997    2.000525
 displaced_2 |
         L1. |  -2204.342   2519.201    -0.88   0.388    -7342.285    2933.601
  _Ideptid_2 |   10.70396   25.06398     0.43   0.672    -40.41437    61.82228
  _Ideptid_3 |   6.944135   16.27993     0.43   0.673      -26.259    40.14727
  _Ideptid_4 |   10.42397    23.7914     0.44   0.664    -38.09891    58.94685
  _Ideptid_5 |     6.9059   20.37634     0.34   0.737    -34.65191    48.46371
  _Ideptid_6 |    4.23766   11.69901     0.36   0.720    -19.62263    28.09796
  _Ideptid_7 |   12.48826   25.84605     0.48   0.632    -40.22511    65.20162
  _Ideptid_8 |   3.604031   12.40939     0.29   0.773    -21.70509    28.91315
  _Ideptid_9 |          0   28.34113     0.00   1.000    -57.80212    57.80212
 _Ideptid_10 |  -4.911966   7.327206    -0.67   0.508     -19.8559    10.03197
 _Ideptid_11 |   4.914407   19.92949     0.25   0.807    -35.73205    45.56086
 _Ideptid_12 |  -12.01357   17.81893    -0.67   0.505    -48.35552    24.32837
 _Ideptid_13 |   4.516455   25.01714     0.18   0.858    -46.50633    55.53924
 _Ideptid_14 |    8.72182   20.88093     0.42   0.679    -33.86511    51.30875
 _Ideptid_15 |  -.8628164   11.96022    -0.07   0.943    -25.25585    23.53022
 _Ideptid_16 |  -19.48573   40.25888    -0.48   0.632    -101.5943    62.62279
 _Ideptid_17 |          0   21.19133     0.00   1.000    -43.22001    43.22001
 _Ideptid_18 |   3.855622   10.15159     0.38   0.707    -16.84868    24.55992
 _Ideptid_19 |   .5284102   7.278482     0.07   0.943    -14.31615    15.37297
 _Ideptid_20 |   2.829001   12.02778     0.24   0.816    -21.70181    27.35981
 _Ideptid_21 |    3.65521   25.79969     0.14   0.888    -48.96361    56.27403
 _Ideptid_22 |   6.627107   21.70254     0.31   0.762    -37.63552    50.88974
 _Ideptid_23 |  -11.58146   20.72426    -0.56   0.580    -53.84887    30.68595
 _Ideptid_24 |   16.25906   29.13359     0.56   0.581    -43.15928     75.6774
 _Ideptid_25 |   6.527921   15.01417     0.43   0.667    -24.09368    37.14952
 _Ideptid_26 |   8.636776   21.64502     0.40   0.693    -35.50853    52.78208
 _Ideptid_27 |   5.303119   14.93962     0.35   0.725    -25.16643    35.77267
 _Ideptid_28 |   2.075951   25.45722     0.08   0.936    -49.84438    53.99629
 _Ideptid_29 |   11.98102   26.38867     0.45   0.653    -41.83902    65.80105
 _Ideptid_30 |   12.57333   26.72879     0.47   0.641     -41.9404    67.08706
 _Ideptid_31 |  -16.72008   30.01434    -0.56   0.581    -77.93474    44.49457
 _Ideptid_32 |  -9.194367   35.63442    -0.26   0.798    -81.87124     63.4825
-------------+----------------------------------------------------------------
se           |
    cocax100 |
         L1. |    .201958   .1083859     1.86   0.072    -.0190964    .4230124
    spraykm2 |
         L1. |   3.253969    2.46634     1.32   0.197    -1.776165    8.284104
     g100000 |
         L1. |   .0003454    .000259     1.33   0.192    -.0001828    .0008736
  corrupt100 |
         L1. |   .2942453    .377243     0.78   0.441    -.4751469    1.063637
    pubinfra |
         L1. |    1.71796   1.053489     1.63   0.113    -.4306456    3.866565
    agroecon |
         L1. |   .7283051   .7067618     1.03   0.311    -.7131451    2.169755
   displaced |
         L1. |   69.61632   94.53982     0.74   0.467    -123.1989    262.4316
      rec100 |
         L1. |   7.607112   117.2617     0.06   0.949    -231.5497    246.7639
       roads |
         L1. |   .0932043   .0868395     1.07   0.291    -.0839061    .2703146
     poverty |
         L1. |   .2973978   .4504378     0.66   0.514    -.6212763    1.216072
 displaced_2 |
         L1. |   1130.357   819.9295     1.38   0.178    -541.9007    2802.614
  _Ideptid_2 |   5.552681    7.51326     0.74   0.465    -9.770714    20.87608
  _Ideptid_3 |   3.811096   4.692621     0.81   0.423    -5.759567    13.38176
  _Ideptid_4 |    7.60647    12.3076     0.62   0.541    -17.49505    32.70799
  _Ideptid_5 |   4.661439   6.095574     0.76   0.450    -7.770567    17.09344
  _Ideptid_6 |   2.141631   2.871706     0.75   0.461    -3.715252    7.998514
  _Ideptid_7 |   7.428533    11.3609     0.65   0.518    -15.74217    30.59923
  _Ideptid_8 |   2.571123   3.468658     0.74   0.464    -4.503252    9.645498
  _Ideptid_9 |          0   10.53766     0.00   1.000     -21.4917     21.4917
 _Ideptid_10 |   2.457391   3.212706     0.76   0.450    -4.094966    9.009748
 _Ideptid_11 |   3.080351   5.217922     0.59   0.559    -7.561672    13.72237
 _Ideptid_12 |   5.343764    7.65061     0.70   0.490    -10.25976    20.94729
 _Ideptid_13 |   3.998693   7.782253     0.51   0.611    -11.87332     19.8707
 _Ideptid_14 |   7.056771   11.22385     0.63   0.534    -15.83442    29.94797
 _Ideptid_15 |   5.246047   7.976357     0.66   0.516    -11.02184    21.51393
 _Ideptid_16 |   11.79758   24.29068     0.49   0.631    -37.74359    61.33876
 _Ideptid_17 |          0      15.43     0.00   1.000    -31.46969    31.46969
 _Ideptid_18 |    2.69252   3.825353     0.70   0.487    -5.109338    10.49438
 _Ideptid_19 |   1.991509   2.773398     0.72   0.478    -3.664875    7.647892
 _Ideptid_20 |   5.486888   7.690081     0.71   0.481    -10.19713    21.17091
 _Ideptid_21 |   5.127712   7.355261     0.70   0.491    -9.873443    20.12887
 _Ideptid_22 |   4.403171   5.587522     0.79   0.437    -6.992657      15.799
 _Ideptid_23 |   7.382803   8.908715     0.83   0.414    -10.78664    25.55225
 _Ideptid_24 |   8.100754   12.32418     0.66   0.516    -17.03458    33.23609
 _Ideptid_25 |   4.960167    7.86465     0.63   0.533    -11.07989    21.00023
 _Ideptid_26 |   8.335241   14.30633     0.58   0.564    -20.84271    37.51319
 _Ideptid_27 |   4.507913   7.523036     0.60   0.553    -10.83542    19.85125
 _Ideptid_28 |    5.60719   10.03288     0.56   0.580    -14.85501    26.06939
 _Ideptid_29 |   5.771973   7.396312     0.78   0.441    -9.312905    20.85685
 _Ideptid_30 |   8.350544   13.29673     0.63   0.535    -18.76831     35.4694
 _Ideptid_31 |   9.109162   13.11849     0.69   0.493    -17.64617    35.86449
 _Ideptid_32 |   10.72267   15.22715     0.70   0.487    -20.33331    41.77865
-------------+----------------------------------------------------------------
_eq2         |
       esamp |         32          .        .       .            .           .
          id |          1          .        .       .            .           .
       _jk_3 |          1          .        .       .            .           .
------------------------------------------------------------------------------

. 
. xi:jackknife esamp=(160-e(N)) _b _se id=_n(deptid), saving (jackknife4, replace) cl(de
> ptid) :xtpcse cocax100 l.cocax100 l.spraykm2 l.g100000 l.corrupt100 l.pubinfra l.agroe
> con l.displaced l.rec100 l.roads l.poverty l.receipt_2 i.deptid, het noc 
i.deptid          _Ideptid_1-32       (naturally coded; _Ideptid_1 omitted)
(running xtpcse on estimation sample)
(note: file jackknife4.dta not found)

Jackknife replications (32)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
................................

Jackknife results                               Number of obs      =       128
                                                Number of clusters =        32
                                                Replications       =        32

      command:  xtpcse cocax100 l.cocax100 l.spraykm2 l.g100000 l.corrupt100
                    l.pubinfra l.agroecon l.displaced l.rec100 l.roads l.poverty
                    l.receipt_2 _Ideptid_*, het noc
  [_eq2]esamp:  160-e(N)
     [_eq2]id:  _n
  [_eq2]_jk_3:  deptid
          n():  e(N)

------------------------------------------------------------------------------
             |              Jackknife
             |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
b            |
    cocax100 |
         L1. |   .7051782   .6016999     1.17   0.250    -.5219969    1.932353
    spraykm2 |
         L1. |   1.774061   6.150426     0.29   0.775    -10.76981    14.31794
     g100000 |
         L1. |   .0004754   .0009314     0.51   0.613    -.0014242    .0023749
  corrupt100 |
         L1. |  -.2048874    2.29653    -0.09   0.929     -4.88869    4.478915
    pubinfra |
         L1. |  -2.772015   3.829242    -0.72   0.475     -10.5818    5.037776
    agroecon |
         L1. |  -.9631015   1.538798    -0.63   0.536    -4.101502    2.175299
   displaced |
         L1. |   -268.476   261.7866    -1.03   0.313    -802.3933    265.4412
      rec100 |
         L1. |   224.5391   350.8417     0.64   0.527    -491.0074    940.0856
       roads |
         L1. |  -.1818307   .6574177    -0.28   0.784    -1.522643    1.158982
     poverty |
         L1. |    .405402   2.558202     0.16   0.875    -4.812086     5.62289
   receipt_2 |
         L1. |  -215.1198   4734.889    -0.05   0.964     -9871.99     9441.75
  _Ideptid_2 |   11.94333   46.24269     0.26   0.798    -82.36925    106.2559
  _Ideptid_3 |   11.21228    28.1999     0.40   0.694    -46.30179    68.72635
  _Ideptid_4 |   11.84742   69.94322     0.17   0.867    -130.8027    154.4975
  _Ideptid_5 |   8.688472   36.94237     0.24   0.816    -66.65598    84.03293
  _Ideptid_6 |   3.549543   19.37445     0.18   0.856    -35.96491      43.064
  _Ideptid_7 |   15.77836   66.39732     0.24   0.814    -119.6399    151.1966
  _Ideptid_8 |   7.075962   14.20598     0.50   0.622    -21.89733    36.04926
  _Ideptid_9 |          0   27.48166     0.00   1.000    -56.04921    56.04921
 _Ideptid_10 |  -4.880192   18.10027    -0.27   0.789    -41.79593    32.03554
 _Ideptid_11 |   4.746525   20.27382     0.23   0.816     -36.6022    46.09525
 _Ideptid_12 |  -6.935944   26.13485    -0.27   0.792    -60.23832    46.36643
 _Ideptid_13 |   -.503135   25.55603    -0.02   0.984      -52.625    51.61873
 _Ideptid_14 |   13.71284   66.58992     0.21   0.838    -122.0982    149.5239
 _Ideptid_15 |   6.812996    45.1278     0.15   0.881    -85.22575    98.85174
 _Ideptid_16 |  -75.19968   155.0517    -0.48   0.631    -391.4297    241.0303
 _Ideptid_17 |          0    86.3455     0.00   1.000    -176.1028    176.1028
 _Ideptid_18 |   4.701052   24.51974     0.19   0.849    -45.30728    54.70938
 _Ideptid_19 |    1.48287   8.990123     0.16   0.870    -16.85261    19.81835
 _Ideptid_20 |   9.490213   38.23731     0.25   0.806     -68.4953    87.47572
 _Ideptid_21 |  -1.377638   29.31024    -0.05   0.963    -61.15627    58.40099
 _Ideptid_22 |   4.949304   20.60849     0.24   0.812    -37.08199     46.9806
 _Ideptid_23 |  -9.873954    60.8278    -0.16   0.872    -133.9331    114.1852
 _Ideptid_24 |   16.92883   66.25851     0.26   0.800    -118.2063     152.064
 _Ideptid_25 |   8.804218   46.53461     0.19   0.851    -86.10374    103.7122
 _Ideptid_26 |   13.10256   66.15407     0.20   0.844    -121.8195    148.0247
 _Ideptid_27 |   7.741608   42.92507     0.18   0.858    -79.80466    95.28787
 _Ideptid_28 |  -5.832061    36.5779    -0.16   0.874    -80.43318    68.76906
 _Ideptid_29 |   13.17104   45.00274     0.29   0.772    -78.61265    104.9547
 _Ideptid_30 |   16.22624   77.05029     0.21   0.835    -140.9189    173.3714
 _Ideptid_31 |  -19.39227   88.76837    -0.22   0.829    -200.4366     161.652
 _Ideptid_32 |  -14.87649   114.5216    -0.13   0.897    -248.4448    218.6918
-------------+----------------------------------------------------------------
se           |
    cocax100 |
         L1. |   .2128009   .1226672     1.73   0.093    -.0373805    .4629822
    spraykm2 |
         L1. |   2.257324   2.271795     0.99   0.328    -2.376032     6.89068
     g100000 |
         L1. |   .0003809   .0002833     1.34   0.189    -.0001969    .0009586
  corrupt100 |
         L1. |   .3686233   .5260481     0.70   0.489    -.7042589    1.441506
    pubinfra |
         L1. |   1.751063   1.196939     1.46   0.154    -.6901094    4.192236
    agroecon |
         L1. |   .7894286   .7864138     1.00   0.323    -.8144729     2.39333
   displaced |
         L1. |   103.0888   79.88352     1.29   0.206    -59.83476    266.0123
      rec100 |
         L1. |   106.8777   103.0676     1.04   0.308      -103.33    317.0855
       roads |
         L1. |   .0933428    .114406     0.82   0.421    -.1399899    .3266754
     poverty |
         L1. |    .368904   .5793021     0.64   0.529    -.8125905    1.550398
   receipt_2 |
         L1. |   106.2609   2170.711     0.05   0.961    -4320.934    4533.456
  _Ideptid_2 |   5.554219   10.03095     0.55   0.584    -14.90404    26.01247
  _Ideptid_3 |   3.831115   4.837648     0.79   0.434    -6.035333    13.69756
  _Ideptid_4 |   8.414361   17.71462     0.47   0.638    -27.71484    44.54356
  _Ideptid_5 |   4.538087   7.796409     0.58   0.565    -11.36279    20.43897
  _Ideptid_6 |   2.140018   3.884567     0.55   0.586    -5.782608    10.06264
  _Ideptid_7 |   7.753348   15.65109     0.50   0.624    -24.16725    39.67395
  _Ideptid_8 |   3.012686   4.074433     0.74   0.465    -5.297175    11.32255
  _Ideptid_9 |          0   9.996874     0.00   1.000    -20.38876    20.38876
 _Ideptid_10 |   2.639423   4.088042     0.65   0.523    -5.698194    10.97704
 _Ideptid_11 |   3.356533   5.475128     0.61   0.544    -7.810065    14.52313
 _Ideptid_12 |   5.523631   8.724197     0.63   0.531    -12.26949    23.31675
 _Ideptid_13 |   5.065495   9.114885     0.56   0.582    -13.52444    23.65543
 _Ideptid_14 |   8.048245    16.0821     0.50   0.620    -24.75142    40.84791
 _Ideptid_15 |   5.706352   9.701216     0.59   0.561    -14.07941    25.49211
 _Ideptid_16 |   23.42389   47.95782     0.49   0.629    -74.38674    121.2345
 _Ideptid_17 |          0   31.47615     0.00   1.000    -64.19604    64.19604
 _Ideptid_18 |   3.020724   6.038988     0.50   0.620    -9.295873    15.33732
 _Ideptid_19 |   2.183004   3.034495     0.72   0.477    -4.005889    8.371896
 _Ideptid_20 |   6.580579   10.45666     0.63   0.534    -14.74593    27.90708
 _Ideptid_21 |   6.455548   9.634669     0.67   0.508    -13.19449    26.10559
 _Ideptid_22 |   4.632804   6.358902     0.73   0.472    -8.336262    17.60187
 _Ideptid_23 |   8.049889   15.74182     0.51   0.613    -24.05577    40.15554
 _Ideptid_24 |   8.351162   16.91847     0.49   0.625    -26.15429    42.85661
 _Ideptid_25 |   5.656887    11.7011     0.48   0.632    -18.20766    29.52143
 _Ideptid_26 |   9.393516   18.50297     0.51   0.615    -28.34354    47.13057
 _Ideptid_27 |   5.190359    10.6922     0.49   0.631    -16.61653    26.99725
 _Ideptid_28 |   6.846778   11.18004     0.61   0.545    -15.95506    29.64862
 _Ideptid_29 |   5.709309   8.844968     0.65   0.523    -12.33012    23.74874
 _Ideptid_30 |   9.153617   18.83923     0.49   0.630    -29.26925    47.57648
 _Ideptid_31 |   9.835872   19.88509     0.49   0.624    -30.72005    50.39179
 _Ideptid_32 |   12.62787    26.0197     0.49   0.631    -40.43966     65.6954
-------------+----------------------------------------------------------------
_eq2         |
       esamp |         32          .        .       .            .           .
          id |          1          .        .       .            .           .
       _jk_3 |          1          .        .       .            .           .
------------------------------------------------------------------------------

. 
. xi:jackknife esamp=(160-e(N)) _b _se id=_n(deptid), saving (jackknife1pw, replace) cl(
> deptid) :xtpcse cocax100 l.spraykm2 l.g100000 l.corrupt100 l.pubinfra l.agroecon l.dis
> placed l.rec100 l.roads l.poverty i.deptid, het correlation(ar1)  noc 
i.deptid          _Ideptid_1-32       (naturally coded; _Ideptid_1 omitted)
(running xtpcse on estimation sample)
(note: file jackknife1pw.dta not found)

Jackknife replications (32)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
................................

Jackknife results                               Number of obs      =       160
                                                Number of clusters =        32
                                                Replications       =        32

      command:  xtpcse cocax100 l.spraykm2 l.g100000 l.corrupt100 l.pubinfra
                    l.agroecon l.displaced l.rec100 l.roads l.poverty _Ideptid_*, het
                    correlation(ar1) noc
  [_eq2]esamp:  160-e(N)
     [_eq2]id:  _n
  [_eq2]_jk_3:  deptid
          n():  e(N)

------------------------------------------------------------------------------
             |              Jackknife
             |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
b            |
    spraykm2 |
         L1. |   -.048307   8.182225    -0.01   0.995    -16.73606    16.63945
     g100000 |
         L1. |   -.000513   .0004977    -1.03   0.311     -.001528    .0005021
  corrupt100 |
         L1. |   .1077522    1.20859     0.09   0.930    -2.357183    2.572688
    pubinfra |
         L1. |  -4.955942   4.047434    -1.22   0.230    -13.21074    3.298854
    agroecon |
         L1. |   4.736136   1.611588     2.94   0.006     1.449281     8.02299
   displaced |
         L1. |  -133.6465   112.5726    -1.19   0.244    -363.2399    95.94678
      rec100 |
         L1. |   7.784618   72.73817     0.11   0.915    -140.5659    156.1351
       roads |
         L1. |  -.2033447   .3334591    -0.61   0.546     -.883439    .4767496
     poverty |
         L1. |   .1878247   1.045015     0.18   0.859    -1.943498    2.319147
  _Ideptid_2 |   8.258144   22.50998     0.37   0.716    -37.65127    54.16756
  _Ideptid_3 |   10.72314   17.14113     0.63   0.536    -24.23643     45.6827
  _Ideptid_4 |   13.22002   28.44492     0.46   0.645    -44.79378    71.23382
  _Ideptid_5 |   9.379926   19.51454     0.48   0.634    -30.42025     49.1801
  _Ideptid_6 |      3.009   10.10615     0.30   0.768    -17.60263    23.62063
  _Ideptid_7 |   7.732128   25.69124     0.30   0.765    -44.66551    60.12977
  _Ideptid_8 |   5.537911   10.10897     0.55   0.588    -15.07948     26.1553
  _Ideptid_9 |    7.29063   23.45116     0.31   0.758    -40.53833    55.11959
 _Ideptid_10 |  -6.890058    8.04101    -0.86   0.398    -23.28981    9.509689
 _Ideptid_11 |   2.376526   15.64181     0.15   0.880    -29.52515    34.27821
 _Ideptid_12 |  -10.16235   17.87583    -0.57   0.574    -46.62035    26.29565
 _Ideptid_13 |    2.98429   19.59118     0.15   0.880    -36.97219    42.94078
 _Ideptid_14 |   .1805988   23.36239     0.01   0.994     -47.4673     47.8285
 _Ideptid_15 |   2.651031   18.57338     0.14   0.887    -35.22963    40.53169
 _Ideptid_16 |  -14.78947   43.42634    -0.34   0.736    -103.3581    73.77913
 _Ideptid_17 |   15.15803   32.72427     0.46   0.646    -51.58355    81.89961
 _Ideptid_18 |  -3.106903   10.24311    -0.30   0.764    -23.99787    17.78406
 _Ideptid_19 |   -5.69363   7.236475    -0.79   0.437    -20.45252    9.065258
 _Ideptid_20 |   -3.87297   15.78218    -0.25   0.808    -36.06094    28.31501
 _Ideptid_21 |   2.038346   19.48737     0.10   0.917    -37.70641     41.7831
 _Ideptid_22 |   5.553744   17.32219     0.32   0.751     -29.7751    40.88259
 _Ideptid_23 |  -5.892731   20.05304    -0.29   0.771    -46.79117    35.00571
 _Ideptid_24 |          0   20.94888     0.00   1.000    -42.72552    42.72552
 _Ideptid_25 |   1.242766   16.55142     0.08   0.941    -32.51407    34.99961
 _Ideptid_26 |    18.0659   33.32442     0.54   0.592    -49.89971    86.03151
 _Ideptid_27 |   4.324199   16.24221     0.27   0.792    -28.80201    37.45041
 _Ideptid_28 |          0   22.47164     0.00   1.000    -45.83121    45.83121
 _Ideptid_29 |   4.464237   22.08641     0.20   0.841    -40.58129    49.50976
 _Ideptid_30 |    9.22247   28.68513     0.32   0.750    -49.28124    67.72618
 _Ideptid_31 |  -13.66749   30.54938    -0.45   0.658    -75.97336    48.63837
 _Ideptid_32 |  -2.640436   37.67279    -0.07   0.945     -79.4746    74.19373
-------------+----------------------------------------------------------------
se           |
    spraykm2 |
         L1. |   2.048662    2.07833     0.99   0.332     -2.19012    6.287444
     g100000 |
         L1. |   .0003475    .000139     2.50   0.018     .0000639     .000631
  corrupt100 |
         L1. |   .0860983   .3572135     0.24   0.811    -.6424434      .81464
    pubinfra |
         L1. |   1.705845   1.071838     1.59   0.122    -.4801833    3.891874
    agroecon |
         L1. |   1.026774   .5003993     2.05   0.049     .0062032    2.047346
   displaced |
         L1. |   57.19514   43.86747     1.30   0.202    -32.27316    146.6634
      rec100 |
         L1. |   9.255438   86.12858     0.11   0.915     -166.405    184.9158
       roads |
         L1. |   .0466845    .074505     0.63   0.536    -.1052694    .1986384
     poverty |
         L1. |   .0708896    .310115     0.23   0.821    -.5615941    .7033734
  _Ideptid_2 |   2.221708   4.800793     0.46   0.647    -7.569573    12.01299
  _Ideptid_3 |   2.695882   3.255409     0.83   0.414    -3.943568    9.335332
  _Ideptid_4 |   3.616714   3.825396     0.95   0.352    -4.185232    11.41866
  _Ideptid_5 |   2.338241   4.682009     0.50   0.621    -7.210779    11.88726
  _Ideptid_6 |   1.267355    2.92747     0.43   0.668    -4.703259    7.237968
  _Ideptid_7 |    2.33456   5.121255     0.46   0.652    -8.110308    12.77943
  _Ideptid_8 |   2.522192   3.495807     0.72   0.476    -4.607554    9.651937
  _Ideptid_9 |   5.422891   12.41168     0.44   0.665    -19.89089    30.73668
 _Ideptid_10 |   1.437918    2.59896     0.55   0.584    -3.862696    6.738531
 _Ideptid_11 |    1.42507   6.220069     0.23   0.820    -11.26084    14.11098
 _Ideptid_12 |   4.239112   6.562787     0.65   0.523    -9.145781    17.62401
 _Ideptid_13 |    1.49458   10.19508     0.15   0.884    -19.29842    22.28758
 _Ideptid_14 |   2.036825   4.702918     0.43   0.668     -7.55484    11.62849
 _Ideptid_15 |   2.897826   3.241124     0.89   0.378     -3.71249    9.508142
 _Ideptid_16 |   6.883082    16.7548     0.41   0.684    -27.28856    41.05472
 _Ideptid_17 |   10.95945   14.74424     0.74   0.463    -19.11163    41.03053
 _Ideptid_18 |    1.26885   2.568329     0.49   0.625    -3.969292    6.506992
 _Ideptid_19 |   2.181132   2.438272     0.89   0.378    -2.791756    7.154021
 _Ideptid_20 |   3.364447   4.613358     0.73   0.471    -6.044559    12.77345
 _Ideptid_21 |   2.016211   9.976525     0.20   0.841    -18.33105    22.36347
 _Ideptid_22 |    1.55627   7.786844     0.20   0.843     -14.3251    17.43764
 _Ideptid_23 |   6.561686   6.589614     1.00   0.327    -6.877921    20.00129
 _Ideptid_24 |          0   11.25692     0.00   1.000    -22.95863    22.95863
 _Ideptid_25 |   1.421278   3.151761     0.45   0.655    -5.006782    7.849338
 _Ideptid_26 |    4.78979   5.371229     0.89   0.379    -6.164903    15.74448
 _Ideptid_27 |   2.060789   2.148737     0.96   0.345     -2.32159    6.443167
 _Ideptid_28 |          0   12.51578     0.00   1.000    -25.52609    25.52609
 _Ideptid_29 |   1.649905   7.195302     0.23   0.820    -13.02501    16.32482
 _Ideptid_30 |   2.779308   4.124511     0.67   0.505    -5.632689     11.1913
 _Ideptid_31 |   4.736352   5.288473     0.90   0.377    -6.049559    15.52226
 _Ideptid_32 |   6.547115    8.71107     0.75   0.458    -11.21923    24.31346
-------------+----------------------------------------------------------------
_eq2         |
       esamp |  (dropped)
          id |          1          .        .       .            .           .
       _jk_3 |          1          .        .       .            .           .
------------------------------------------------------------------------------

. 
. xi:jackknife esamp=(160-e(N)) _b _se id=_n(deptid), saving (jackknife2pw, replace) cl(
> deptid) :xtpcse cocax100 l.spraykm2 l.g100000 l.corrupt100 l.pubinfra l.agroecon l.dis
> placed l.rec100 l.roads l.poverty l.poverty_2 i.deptid, het correlation(ar1) noc 
i.deptid          _Ideptid_1-32       (naturally coded; _Ideptid_1 omitted)
(running xtpcse on estimation sample)
(note: file jackknife2pw.dta not found)

Jackknife replications (32)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
................................

Jackknife results                               Number of obs      =       160
                                                Number of clusters =        32
                                                Replications       =        32

      command:  xtpcse cocax100 l.spraykm2 l.g100000 l.corrupt100 l.pubinfra
                    l.agroecon l.displaced l.rec100 l.roads l.poverty l.poverty_2
                    _Ideptid_*, het correlation(ar1) noc
  [_eq2]esamp:  160-e(N)
     [_eq2]id:  _n
  [_eq2]_jk_3:  deptid
          n():  e(N)

------------------------------------------------------------------------------
             |              Jackknife
             |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
b            |
    spraykm2 |
         L1. |   -.048307   8.182225    -0.01   0.995    -16.73606    16.63945
     g100000 |
         L1. |   -.000513   .0004977    -1.03   0.311     -.001528    .0005021
  corrupt100 |
         L1. |   .1198792   1.029887     0.12   0.908     -1.98059    2.220348
    pubinfra |
         L1. |  -4.955942   4.047434    -1.22   0.230    -13.21074    3.298854
    agroecon |
         L1. |   4.736136   1.611588     2.94   0.006     1.449281     8.02299
   displaced |
         L1. |  -133.6465   112.5726    -1.19   0.244    -363.2399    95.94678
      rec100 |
         L1. |   7.784618   72.73817     0.11   0.915    -140.5659    156.1351
       roads |
         L1. |  -.3016392   .4220908    -0.71   0.480    -1.162499    .5592208
     poverty |
         L1. |   .7563125    2.62992     0.29   0.776    -4.607444    6.120069
   poverty_2 |
         L1. |   -.007234   .0206824    -0.35   0.729     -.049416    .0349481
  _Ideptid_2 |   6.356502   14.54917     0.44   0.665    -23.31672    36.02972
  _Ideptid_3 |   6.855925   13.15185     0.52   0.606    -19.96745     33.6793
  _Ideptid_4 |   11.83059   20.81806     0.57   0.574    -30.62812     54.2893
  _Ideptid_5 |   9.038376   15.52788     0.58   0.565    -22.63093    40.70769
  _Ideptid_6 |  -2.493988   15.16625    -0.16   0.870    -33.42576    28.43778
  _Ideptid_7 |   6.745342   18.75881     0.36   0.722     -31.5135    45.00418
  _Ideptid_8 |   3.071107   12.27711     0.25   0.804    -21.96822    28.11043
  _Ideptid_9 |   5.210451   21.34183     0.24   0.809    -38.31649    48.73739
 _Ideptid_10 |  -12.98453   26.74375    -0.49   0.631    -67.52877    41.55971
 _Ideptid_11 |   .9765278   13.19515     0.07   0.941    -25.93517    27.88822
 _Ideptid_12 |  -7.596287   11.45101    -0.66   0.512    -30.95079    15.75821
 _Ideptid_13 |   5.181092   13.90122     0.37   0.712    -23.17063    33.53281
 _Ideptid_14 |  -2.806994   13.64412    -0.21   0.838    -30.63435    25.02036
 _Ideptid_15 |   3.578276   18.02732     0.20   0.844    -33.18869    40.34524
 _Ideptid_16 |  (dropped)
 _Ideptid_17 |   15.48454   26.34425     0.59   0.561     -38.2449    69.21399
 _Ideptid_18 |  -8.605821   14.23271    -0.60   0.550    -37.63363    20.42199
 _Ideptid_19 |  -10.16793   18.74567    -0.54   0.591    -48.39997    28.06411
 _Ideptid_20 |  -10.05595   11.40849    -0.88   0.385    -33.32372    13.21182
 _Ideptid_21 |   -.174511   20.37082    -0.01   0.993    -41.72107    41.37204
 _Ideptid_22 |   1.531053   18.36725     0.08   0.934     -35.9292     38.9913
 _Ideptid_23 |  -5.606461   13.96194    -0.40   0.691    -34.08203    22.86911
 _Ideptid_24 |          0   18.15569     0.00   1.000    -37.02878    37.02878
 _Ideptid_25 |  -2.693063   6.396827    -0.42   0.677    -15.73948    10.35335
 _Ideptid_26 |   16.42147   25.07198     0.65   0.517    -34.71317    67.55611
 _Ideptid_27 |   .1371546    6.18669     0.02   0.982    -12.48068    12.75499
 _Ideptid_28 |          0   21.22437     0.00   1.000    -43.28738    43.28738
 _Ideptid_29 |   2.694783    13.5884     0.20   0.844    -25.01894    30.40851
 _Ideptid_30 |   8.984057   24.36473     0.37   0.715    -40.70814    58.67625
 _Ideptid_31 |   .9194623    17.2876     0.05   0.958    -34.33883    36.17775
 _Ideptid_32 |   3.400963   21.78466     0.16   0.877    -41.02914    47.83107
-------------+----------------------------------------------------------------
se           |
    spraykm2 |
         L1. |   2.048662    2.07833     0.99   0.332     -2.19012    6.287444
     g100000 |
         L1. |   .0003475    .000139     2.50   0.018     .0000639     .000631
  corrupt100 |
         L1. |   .0851848   .3299506     0.26   0.798    -.5877539    .7581236
    pubinfra |
         L1. |   1.705845   1.071838     1.59   0.122    -.4801833    3.891874
    agroecon |
         L1. |   1.026774   .5003993     2.05   0.049     .0062032    2.047346
   displaced |
         L1. |   57.19514   43.86747     1.30   0.202    -32.27316    146.6634
      rec100 |
         L1. |   9.255438   86.12858     0.11   0.915     -166.405    184.9158
       roads |
         L1. |   .0851162   .1045638     0.81   0.422    -.1281431    .2983755
     poverty |
         L1. |    .312046   .7786246     0.40   0.691    -1.275969    1.900061
   poverty_2 |
         L1. |   .0033667   .0051865     0.65   0.521    -.0072113    .0139447
  _Ideptid_2 |   1.821603   5.993653     0.30   0.763    -10.40253    14.04574
  _Ideptid_3 |   2.712678    5.18631     0.52   0.605    -7.864871    13.29023
  _Ideptid_4 |   3.143546   5.904941     0.53   0.598    -8.899659    15.18675
  _Ideptid_5 |   2.226917   5.574964     0.40   0.692    -9.143298    13.59713
  _Ideptid_6 |   2.016905   6.768959     0.30   0.768    -11.78848    15.82229
  _Ideptid_7 |   2.021343   7.999759     0.25   0.802    -14.29427    18.33696
  _Ideptid_8 |   2.811225   5.044711     0.56   0.581    -7.477531    13.09998
  _Ideptid_9 |   5.318728   9.480421     0.56   0.579    -14.01672    24.65417
 _Ideptid_10 |   3.726851    7.92154     0.47   0.641    -12.42924    19.88294
 _Ideptid_11 |   1.355702   6.454503     0.21   0.835    -11.80834    14.51975
 _Ideptid_12 |   4.057394    5.95251     0.68   0.501    -8.082829    16.19762
 _Ideptid_13 |   2.236401   6.433034     0.35   0.730    -10.88386    15.35666
 _Ideptid_14 |   2.011591   6.972391     0.29   0.775    -12.20869    16.23188
 _Ideptid_15 |   3.158462   5.365978     0.59   0.560    -7.785522    14.10245
 _Ideptid_16 |  (dropped)
 _Ideptid_17 |   10.87357    17.5629     0.62   0.540     -24.9462    46.69333
 _Ideptid_18 |   2.897626    4.60973     0.63   0.534    -6.503981    12.29923
 _Ideptid_19 |   3.497748   5.184508     0.67   0.505    -7.076126    14.07162
 _Ideptid_20 |   5.069723   5.037299     1.01   0.322    -5.203915    15.34336
 _Ideptid_21 |   2.161039   10.33816     0.21   0.836    -18.92378    23.24586
 _Ideptid_22 |   1.968878    8.44844     0.23   0.817    -15.26183    19.19958
 _Ideptid_23 |   6.489647   6.336882     1.02   0.314    -6.434509     19.4138
 _Ideptid_24 |          0    12.6273     0.00   1.000    -25.75355    25.75355
 _Ideptid_25 |   1.678352   3.579754     0.47   0.642    -5.622605    8.979309
 _Ideptid_26 |   4.280975   5.938662     0.72   0.476    -7.831006    16.39296
 _Ideptid_27 |   1.979792   3.566401     0.56   0.583    -5.293932    9.253515
 _Ideptid_28 |          0   11.35874     0.00   1.000     -23.1663     23.1663
 _Ideptid_29 |    1.33496    7.14808     0.19   0.853    -13.24365    15.91357
 _Ideptid_30 |   2.701261   9.640693     0.28   0.781    -16.96106    22.36358
 _Ideptid_31 |   4.749242   7.128345     0.67   0.510    -9.789113     19.2876
 _Ideptid_32 |    5.23514   6.094347     0.86   0.397    -7.194363    17.66464
-------------+----------------------------------------------------------------
_eq2         |
       esamp |  (dropped)
          id |          1          .        .       .            .           .
       _jk_3 |          1          .        .       .            .           .
------------------------------------------------------------------------------

. 
. xi:jackknife esamp=(160-e(N)) _b _se id=_n(deptid), saving (jackknife3pw, replace) cl(
> deptid) :xtpcse cocax100 l.spraykm2 l.g100000 l.corrupt100 l.pubinfra l.agroecon l.dis
> placed l.rec100 l.roads l.poverty l.displaced_2 i.deptid, het correlation(ar1) noc 
i.deptid          _Ideptid_1-32       (naturally coded; _Ideptid_1 omitted)
(running xtpcse on estimation sample)
(note: file jackknife3pw.dta not found)

Jackknife replications (32)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
................................

Jackknife results                               Number of obs      =       160
                                                Number of clusters =        32
                                                Replications       =        32

      command:  xtpcse cocax100 l.spraykm2 l.g100000 l.corrupt100 l.pubinfra
                    l.agroecon l.displaced l.rec100 l.roads l.poverty l.displaced_2
                    _Ideptid_*, het correlation(ar1) noc
  [_eq2]esamp:  160-e(N)
     [_eq2]id:  _n
  [_eq2]_jk_3:  deptid
          n():  e(N)

------------------------------------------------------------------------------
             |              Jackknife
             |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
b            |
    spraykm2 |
         L1. |   1.774984   10.50231     0.17   0.867    -19.64463    23.19459
     g100000 |
         L1. |  -.0003584    .000488    -0.73   0.468    -.0013537    .0006369
  corrupt100 |
         L1. |   .2147502   1.323932     0.16   0.872    -2.485427    2.914928
    pubinfra |
         L1. |  -5.341792   4.288417    -1.25   0.222    -14.08808    3.404492
    agroecon |
         L1. |   5.078277   1.856709     2.74   0.010     1.291495    8.865059
   displaced |
         L1. |   37.44829     89.905     0.42   0.680    -145.9142    220.8108
      rec100 |
         L1. |   1.496489   15.30488     0.10   0.923    -29.71801    32.71099
       roads |
         L1. |  -.2327171   .2867901    -0.81   0.423    -.8176294    .3521952
     poverty |
         L1. |   .1089461   1.100939     0.10   0.922    -2.136435    2.354327
 displaced_2 |
         L1. |  -1713.841   1347.326    -1.27   0.213     -4461.73    1034.048
  _Ideptid_2 |     7.0674   18.19359     0.39   0.700    -30.03866    44.17346
  _Ideptid_3 |   8.097081      12.71     0.64   0.529    -17.82514     34.0193
  _Ideptid_4 |    13.7044   26.81947     0.51   0.613    -40.99426    68.40306
  _Ideptid_5 |     7.6655   15.92434     0.48   0.634    -24.81241    40.14341
  _Ideptid_6 |   3.379159   7.719398     0.44   0.665    -12.36466    19.12297
  _Ideptid_7 |   7.122832   22.23786     0.32   0.751    -38.23159    52.47725
  _Ideptid_8 |   2.681994    6.12868     0.44   0.665    -9.817531    15.18152
  _Ideptid_9 |    4.15972   19.72172     0.21   0.834      -36.063    44.38244
 _Ideptid_10 |  -8.312725   9.451043    -0.88   0.386    -27.58825     10.9628
 _Ideptid_11 |   .5645789   11.61421     0.05   0.962    -23.12276    24.25192
 _Ideptid_12 |  -14.88803   22.56622    -0.66   0.514    -60.91214    31.13609
 _Ideptid_13 |    3.64992   16.56445     0.22   0.827     -30.1335    37.43334
 _Ideptid_14 |   -1.52207   22.83913    -0.07   0.947    -48.10278    45.05864
 _Ideptid_15 |    .086014   20.04916     0.00   0.997    -40.80452    40.97654
 _Ideptid_16 |  -11.89445    41.2569    -0.29   0.775    -96.03845    72.24955
 _Ideptid_17 |   11.55983   24.54567     0.47   0.641     -38.5014    61.62106
 _Ideptid_18 |   -4.10694   9.296236    -0.44   0.662    -23.06674    14.85286
 _Ideptid_19 |  -8.360502   8.892239    -0.94   0.354    -26.49634    9.775339
 _Ideptid_20 |  -8.160949   19.44306    -0.42   0.678    -47.81533    31.49343
 _Ideptid_21 |   2.403609    18.0963     0.13   0.895    -34.50403    39.31125
 _Ideptid_22 |   4.956105   15.93006     0.31   0.758    -27.53346    37.44567
 _Ideptid_23 |  -10.61223   18.92219    -0.56   0.579     -49.2043    27.97983
 _Ideptid_24 |          0   18.68915     0.00   1.000    -38.11677    38.11677
 _Ideptid_25 |    .389655   15.77369     0.02   0.980    -31.78099     32.5603
 _Ideptid_26 |   17.90218   31.82081     0.56   0.578    -46.99679    82.80114
 _Ideptid_27 |   3.087369   14.11153     0.22   0.828    -25.69329    31.86803
 _Ideptid_28 |          0    21.6813     0.00   1.000    -44.21931    44.21931
 _Ideptid_29 |   3.944469   17.12571     0.23   0.819    -30.98364    38.87258
 _Ideptid_30 |   8.411183   25.76905     0.33   0.746    -44.14514     60.9675
 _Ideptid_31 |  -15.90134   31.08778    -0.51   0.613    -79.30528    47.50261
 _Ideptid_32 |  -4.078021   38.14992    -0.11   0.916     -81.8853    73.72926
-------------+----------------------------------------------------------------
se           |
    spraykm2 |
         L1. |   2.908674   1.223783     2.38   0.024     .4127517    5.404596
     g100000 |
         L1. |   .0003311   .0001224     2.71   0.011     .0000816    .0005807
  corrupt100 |
         L1. |   .0789204   .3606209     0.22   0.828    -.6565709    .8144116
    pubinfra |
         L1. |   1.671391   1.031443     1.62   0.115    -.4322523    3.775033
    agroecon |
         L1. |   .9504688   .3136891     3.03   0.005     .3106956    1.590242
   displaced |
         L1. |   76.20714   69.21728     1.10   0.279    -64.96244    217.3767
      rec100 |
         L1. |   9.415593   93.00004     0.10   0.920    -180.2592    199.0904
       roads |
         L1. |    .041753    .069686     0.60   0.553    -.1003725    .1838784
     poverty |
         L1. |   .0674037   .3262264     0.21   0.838    -.5979395    .7327469
 displaced_2 |
         L1. |    1108.75   475.9456     2.33   0.027     138.0528    2079.448
  _Ideptid_2 |   2.283752   5.303933     0.43   0.670    -8.533691    13.10119
  _Ideptid_3 |   2.440394   3.422878     0.71   0.481    -4.540612    9.421399
  _Ideptid_4 |   3.533089   4.628334     0.76   0.451     -5.90646    12.97264
  _Ideptid_5 |    2.49202   4.475567     0.56   0.582    -6.635958       11.62
  _Ideptid_6 |   1.244216   2.628903     0.47   0.639    -4.117466    6.605898
  _Ideptid_7 |   2.455891   6.658618     0.37   0.715    -11.12445    16.03623
  _Ideptid_8 |    2.06583   3.617695     0.57   0.572    -5.312507    9.444168
  _Ideptid_9 |   5.054349   11.87034     0.43   0.673    -19.15538    29.26408
 _Ideptid_10 |   1.301866   2.187122     0.60   0.556    -3.158799    5.762531
 _Ideptid_11 |   1.296795   6.149876     0.21   0.834    -11.24596    13.83955
 _Ideptid_12 |   3.167633   5.044652     0.63   0.535    -7.121003    13.45627
 _Ideptid_13 |   1.241202   9.210821     0.13   0.894    -17.54439     20.0268
 _Ideptid_14 |   2.099343   7.122878     0.29   0.770    -12.42786    16.62655
 _Ideptid_15 |   3.008198   3.727034     0.81   0.426    -4.593138    10.60953
 _Ideptid_16 |   6.974681   15.75567     0.44   0.661    -25.15921    39.10857
 _Ideptid_17 |   9.593754   15.54322     0.62   0.542    -22.10684    41.29435
 _Ideptid_18 |   1.182504   3.337243     0.35   0.725    -5.623849    7.988857
 _Ideptid_19 |   1.661616   2.229581     0.75   0.462    -2.885643    6.208876
 _Ideptid_20 |   2.807782   5.394983     0.52   0.606    -8.195358    13.81092
 _Ideptid_21 |   1.857962   8.944633     0.21   0.837    -16.38474    20.10066
 _Ideptid_22 |     1.7313   6.781075     0.26   0.800    -12.09879    15.56139
 _Ideptid_23 |   5.636881   5.634789     1.00   0.325    -5.855347    17.12911
 _Ideptid_24 |          0   13.10104     0.00   1.000    -26.71975    26.71975
 _Ideptid_25 |   1.461212   4.811107     0.30   0.763    -8.351105    11.27353
 _Ideptid_26 |   4.701438   5.503259     0.85   0.399    -6.522532    15.92541
 _Ideptid_27 |   2.055946   3.387555     0.61   0.548    -4.853017    8.964909
 _Ideptid_28 |          0   11.88425     0.00   1.000    -24.23809    24.23809
 _Ideptid_29 |   1.661896   7.511379     0.22   0.826    -13.65766    16.98146
 _Ideptid_30 |   2.829822   6.589779     0.43   0.671    -10.61012    16.26976
 _Ideptid_31 |   4.267645   5.785259     0.74   0.466    -7.531468    16.06676
 _Ideptid_32 |    6.21954   8.524431     0.73   0.471    -11.16615    23.60523
-------------+----------------------------------------------------------------
_eq2         |
       esamp |  (dropped)
          id |          1          .        .       .            .           .
       _jk_3 |          1          .        .       .            .           .
------------------------------------------------------------------------------

. 
. xi:jackknife esamp=(160-e(N)) _b _se id=_n(deptid), saving (jackknife4pw, replace) cl(
> deptid) :xtpcse cocax100 l.spraykm2 l.g100000 l.corrupt100 l.pubinfra l.agroecon l.dis
> placed l.rec100 l.roads l.poverty l.receipt_2 i.deptid, het correlation(ar1) noc 
i.deptid          _Ideptid_1-32       (naturally coded; _Ideptid_1 omitted)
(running xtpcse on estimation sample)
(note: file jackknife4pw.dta not found)

Jackknife replications (32)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
................................

Jackknife results                               Number of obs      =       160
                                                Number of clusters =        32
                                                Replications       =        32

      command:  xtpcse cocax100 l.spraykm2 l.g100000 l.corrupt100 l.pubinfra
                    l.agroecon l.displaced l.rec100 l.roads l.poverty l.receipt_2
                    _Ideptid_*, het correlation(ar1) noc
  [_eq2]esamp:  160-e(N)
     [_eq2]id:  _n
  [_eq2]_jk_3:  deptid
          n():  e(N)

------------------------------------------------------------------------------
             |              Jackknife
             |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
b            |
    spraykm2 |
         L1. |   .5042152   8.605361     0.06   0.954    -17.04653    18.05496
     g100000 |
         L1. |  -.0004218   .0005535    -0.76   0.452    -.0015507    .0007071
  corrupt100 |
         L1. |   .1803208   1.646502     0.11   0.913    -3.177742    3.538384
    pubinfra |
         L1. |  -5.128605   4.163714    -1.23   0.227    -13.62055    3.363345
    agroecon |
         L1. |   4.738624    1.67509     2.83   0.008     1.322255    8.154994
   displaced |
         L1. |  -198.3246   161.1193    -1.23   0.228    -526.9295    130.2804
      rec100 |
         L1. |   103.4318   211.7784     0.49   0.629     -328.493    535.3567
       roads |
         L1. |  -.2166314    .474863    -0.46   0.651    -1.185121    .7518581
     poverty |
         L1. |   .1303196    1.64459     0.08   0.937    -3.223844    3.484484
   receipt_2 |
         L1. |  -101.4349   4016.369    -0.03   0.980    -8292.873    8090.004
  _Ideptid_2 |   8.438419   32.88192     0.26   0.799     -58.6247    75.50153
  _Ideptid_3 |   11.23763   22.57881     0.50   0.622    -34.81216    57.28742
  _Ideptid_4 |   12.45184   45.61829     0.27   0.787    -80.58729     105.491
  _Ideptid_5 |   9.780471   27.67836     0.35   0.726    -46.66991    66.23086
  _Ideptid_6 |   3.225474   13.66606     0.24   0.815    -24.64664    31.09759
  _Ideptid_7 |   7.787858   43.02718     0.18   0.858    -79.96665    95.54236
  _Ideptid_8 |   6.479921   11.28093     0.57   0.570    -16.52769    29.48753
  _Ideptid_9 |   7.151886    24.6787     0.29   0.774    -43.18065    57.48443
 _Ideptid_10 |  -6.866261   11.49855    -0.60   0.555    -30.31772     16.5852
 _Ideptid_11 |   2.934589   17.10127     0.17   0.865    -31.94367    37.81285
 _Ideptid_12 |  -10.67237   22.78411    -0.47   0.643    -57.14086    35.79612
 _Ideptid_13 |    3.87963   20.85875     0.19   0.854    -38.66207    46.42133
 _Ideptid_14 |  -.5345607   42.11421    -0.01   0.990    -86.42707    85.35795
 _Ideptid_15 |   2.691673   29.86203     0.09   0.929    -58.21233    63.59568
 _Ideptid_16 |  -33.66665   87.44958    -0.38   0.703    -212.0212    144.6879
 _Ideptid_17 |   16.12585   48.91495     0.33   0.744    -83.63684    115.8885
 _Ideptid_18 |  -3.479643   16.66385    -0.21   0.836     -37.4658    30.50651
 _Ideptid_19 |  -5.717402   7.801055    -0.73   0.469    -21.62776    10.19296
 _Ideptid_20 |  -5.144443   26.78959    -0.19   0.849    -59.78217    49.49328
 _Ideptid_21 |   2.780486    20.2381     0.14   0.892     -38.4954    44.05637
 _Ideptid_22 |   6.231851   19.52965     0.32   0.752    -33.59912    46.06283
 _Ideptid_23 |  -4.874989   36.76245    -0.13   0.895    -79.85249    70.10252
 _Ideptid_24 |          0   34.65728     0.00   1.000    -70.68399    70.68399
 _Ideptid_25 |   .5177069     29.554     0.02   0.986    -59.75807    60.79348
 _Ideptid_26 |    17.4601   51.39159     0.34   0.736    -87.35375    122.2739
 _Ideptid_27 |   3.595443   27.42931     0.13   0.897      -52.347    59.53788
 _Ideptid_28 |          0   28.41435     0.00   1.000    -57.95144    57.95144
 _Ideptid_29 |   5.349206   31.59974     0.17   0.867    -59.09889     69.7973
 _Ideptid_30 |   8.671241   49.11293     0.18   0.861    -91.49524    108.8377
 _Ideptid_31 |   -13.2442   54.51341    -0.24   0.810     -124.425    97.93663
 _Ideptid_32 |  -1.065585   68.30676    -0.02   0.988    -140.3781     138.247
-------------+----------------------------------------------------------------
se           |
    spraykm2 |
         L1. |   2.124885   1.971312     1.08   0.289    -1.895632    6.145403
     g100000 |
         L1. |   .0003578    .000147     2.43   0.021      .000058    .0006577
  corrupt100 |
         L1. |   .1044693   .6681964     0.16   0.877    -1.258326    1.467265
    pubinfra |
         L1. |   1.745332     1.0789     1.62   0.116     -.455099    3.945764
    agroecon |
         L1. |   1.006477   .4947531     2.03   0.051    -.0025784    2.015533
   displaced |
         L1. |   83.12361   36.84518     2.26   0.031     7.977382    158.2698
      rec100 |
         L1. |   84.67973   76.46122     1.11   0.277    -71.26394    240.6234
       roads |
         L1. |   .0495451   .1113495     0.44   0.659    -.1775537    .2766439
     poverty |
         L1. |   .0778815   .7259719     0.11   0.915    -1.402748    1.558511
   receipt_2 |
         L1. |    86.8036   2414.985     0.04   0.972    -4838.591    5012.198
  _Ideptid_2 |   2.267659   10.54691     0.22   0.831    -19.24291    23.77823
  _Ideptid_3 |   2.770502   4.707651     0.59   0.560    -6.830815    12.37182
  _Ideptid_4 |   3.574333   15.60837     0.23   0.820    -28.25915    35.40782
  _Ideptid_5 |   2.407444   7.629618     0.32   0.754    -13.15327    17.96815
  _Ideptid_6 |   1.305477   3.959021     0.33   0.744    -6.768999    9.379954
  _Ideptid_7 |   2.379009    16.2936     0.15   0.885    -30.85201    35.61003
  _Ideptid_8 |   2.765213   3.614429     0.77   0.450    -4.606462    10.13689
  _Ideptid_9 |   5.434763   12.40855     0.44   0.664    -19.87265    30.74218
 _Ideptid_10 |    1.42085   3.204623     0.44   0.661    -5.115021    7.956721
 _Ideptid_11 |   1.512447   6.114501     0.25   0.806    -10.95816    13.98305
 _Ideptid_12 |    4.30393   6.799395     0.63   0.531    -9.563527    18.17139
 _Ideptid_13 |   1.618727   10.33892     0.16   0.877    -19.46764     22.7051
 _Ideptid_14 |   2.171939   18.26138     0.12   0.906    -35.07239    39.41627
 _Ideptid_15 |   2.934174   8.955004     0.33   0.745    -15.32968    21.19803
 _Ideptid_16 |   18.92315   39.56245     0.48   0.636      -61.765    99.61131
 _Ideptid_17 |   10.67432   20.11869     0.53   0.599    -30.35802    51.70667
 _Ideptid_18 |   1.326207   6.835405     0.19   0.847    -12.61469    15.26711
 _Ideptid_19 |   2.115552    2.35549     0.90   0.376      -2.6885    6.919605
 _Ideptid_20 |   3.650835   11.03025     0.33   0.743    -18.84551    26.14718
 _Ideptid_21 |   1.936093   10.91504     0.18   0.860    -20.32527    24.19746
 _Ideptid_22 |   1.609913   7.614219     0.21   0.834    -13.91939    17.13922
 _Ideptid_23 |   6.294548   12.07406     0.52   0.606    -18.33066    30.91975
 _Ideptid_24 |          0   20.80861     0.00   1.000    -42.43943    42.43943
 _Ideptid_25 |   1.563428   12.91017     0.12   0.904    -24.76704    27.89389
 _Ideptid_26 |    4.71345   15.16244     0.31   0.758    -26.21054    35.63744
 _Ideptid_27 |   2.146918   10.41631     0.21   0.838    -19.09729    23.39112
 _Ideptid_28 |          0    14.1747     0.00   1.000    -28.90949    28.90949
 _Ideptid_29 |   1.926364    10.8432     0.18   0.860    -20.18848    24.04121
 _Ideptid_30 |   2.796621   19.17947     0.15   0.885    -36.32017    41.91342
 _Ideptid_31 |   4.656317   18.25458     0.26   0.800    -32.57414    41.88677
 _Ideptid_32 |   6.338074   24.26994     0.26   0.796     -43.1608    55.83695
-------------+----------------------------------------------------------------
_eq2         |
       esamp |  (dropped)
          id |          1          .        .       .            .           .
       _jk_3 |          1          .        .       .            .           .
------------------------------------------------------------------------------

. 
. save "C:\WORK\Research-ArticlesInProgress\Colombia coca cultivation with Cate Russler\
> data\20070312\newcsts031307.dta", replace
file C:\WORK\Research-ArticlesInProgress\Colombia coca cultivation with Cate Russler\dat
> a\20070312\newcsts031307.dta saved

. 
. use jackknife1, clear
(jackknife: xtpcse)

. gen deptid=_n

. save jackknife1, replace
file jackknife1.dta saved

. 
. use jackknife2, clear
(jackknife: xtpcse)

. gen deptid=_n

. save jackknife2, replace
file jackknife2.dta saved

. use jackknife3, clear
(jackknife: xtpcse)

. gen deptid=_n

. save jackknife3, replace
file jackknife3.dta saved

. use jackknife4, clear
(jackknife: xtpcse)

. gen deptid=_n

. save jackknife4, replace
file jackknife4.dta saved

. 
. use jackknife1pw, clear
(jackknife: xtpcse)

. gen deptid=_n

. save jackknife1pw, replace
file jackknife1pw.dta saved

. 
. use jackknife2pw, clear
(jackknife: xtpcse)

. gen deptid=_n

. save jackknife2pw, replace
file jackknife2pw.dta saved

. use jackknife3pw, clear
(jackknife: xtpcse)

. gen deptid=_n

. save jackknife3pw, replace
file jackknife3pw.dta saved

. use jackknife4pw, clear
(jackknife: xtpcse)

. gen deptid=_n

. save jackknife4pw, replace
file jackknife4pw.dta saved

. 
. 
. **collapsing dataset to means**
. use "C:\WORK\Research-ArticlesInProgress\Colombia coca cultivation with Cate Russler\d
> ata\20070312\newcsts031307.dta", clear

. tsset deptid year, yearly
       panel variable:  deptid, 1 to 32
        time variable:  year, 2000 to 2005

. collapse cocax100 l.cocax100 l.spraykm2 l.g100000 l.pubinfra l.agroecon l.displaced l.
> rec100 l.roads l.corrupt100 l.poverty, by(deptid)

. save datameans031307.dta, replace
(note: file datameans031307.dta not found)
file datameans031307.dta saved

. 
. ***merging sample means into jackknifefiles***
. 
. merge deptid using jackknife1, unique sort
(jackknife: xtpcse)
deptid was byte now float

. gen coca_hat = _jk_1*Lcocax100  + _jk_2*Lspraykm2  + _jk_3*Lg100000  + _jk_4*Lcorrupt1
> 00  + _jk_5*Lpubinfra  + _jk_6*Lagroecon  + _jk_7*Ldisplaced  +_jk_8*Lrec100  + _jk_9*
> Lroads  + _jk_10*Lpoverty 

. gen diff_i_hat = cocax100 - coca_hat

. save jackknife1w-means, replace
(note: file jackknife1w-means.dta not found)
file jackknife1w-means.dta saved

. 
. use datameans031307.dta, clear

. merge deptid using jackknife2, unique sort
(jackknife: xtpcse)
deptid was byte now float

. gen coca_hat = _jk_1*Lcocax100  + _jk_2*Lspraykm2  + _jk_3*Lg100000  + _jk_4*Lcorrupt1
> 00  + _jk_5*Lpubinfra  + _jk_6*Lagroecon  + _jk_7*Ldisplaced  +_jk_8*Lrec100  + _jk_9*
> Lroads  + _jk_10*Lpoverty  + _jk_11*Lpoverty*Lpoverty 

. gen diff_i_hat = cocax100 - coca_hat

. save jackknife2w-means, replace
(note: file jackknife2w-means.dta not found)
file jackknife2w-means.dta saved

. 
. use datameans031307.dta, clear

. merge deptid using jackknife3, unique sort
(jackknife: xtpcse)
deptid was byte now float

. gen coca_hat = _jk_1*Lcocax100  + _jk_2*Lspraykm2  + _jk_3*Lg100000  + _jk_4*Lcorrupt1
> 00  + _jk_5*Lpubinfra  + _jk_6*Lagroecon  + _jk_7*Ldisplaced  +_jk_8*Lrec100  + _jk_9*
> Lroads  + _jk_10*Lpoverty  + _jk_11*Ldisplaced*Ldisplaced 

. gen diff_i_hat = cocax100 - coca_hat

. save jackknife3w-means, replace
(note: file jackknife3w-means.dta not found)
file jackknife3w-means.dta saved

.  
. use datameans031307.dta, clear

. merge deptid using jackknife4, unique sort
(jackknife: xtpcse)
deptid was byte now float

. gen coca_hat = _jk_1*Lcocax100  + _jk_2*Lspraykm2  + _jk_3*Lg100000  + _jk_4*Lcorrupt1
> 00  + _jk_5*Lpubinfra  + _jk_6*Lagroecon  + _jk_7*Ldisplaced  +_jk_8*Lrec100  + _jk_9*
> Lroads  + _jk_10*Lpoverty  + _jk_11*Lrec100*Lrec100 

. gen diff_i_hat = cocax100 - coca_hat

. save jackknife4w-means, replace
(note: file jackknife4w-means.dta not found)
file jackknife4w-means.dta saved

. 
. use datameans031307.dta, clear

. merge deptid using jackknife1pw, unique sort
(jackknife: xtpcse)
deptid was byte now float

. gen coca_hat = _jk_1*Lspraykm2  + _jk_2*Lg100000  + _jk_3*Lcorrupt100  + _jk_4*Lpubinf
> ra  + _jk_5*Lagroecon  + _jk_6*Ldisplaced  +_jk_7*Lrec100  + _jk_8*Lroads  + _jk_9*Lpo
> verty 

. gen diff_i_hat = cocax100 - coca_hat

. save jackknife1pw-w-means, replace
(note: file jackknife1pw-w-means.dta not found)
file jackknife1pw-w-means.dta saved

. 
. use datameans031307.dta, clear

. merge deptid using jackknife2pw, unique sort
(jackknife: xtpcse)
deptid was byte now float

. gen coca_hat = _jk_1*Lspraykm2  + _jk_2*Lg100000  + _jk_3*Lcorrupt100  + _jk_4*Lpubinf
> ra  + _jk_5*Lagroecon  + _jk_6*Ldisplaced  +_jk_7*Lrec100  + _jk_8*Lroads  + _jk_9*Lpo
> verty  + _jk_10*Lpoverty*Lpoverty 

. gen diff_i_hat = cocax100 - coca_hat

. save jackknife2pw-w-means, replace
(note: file jackknife2pw-w-means.dta not found)
file jackknife2pw-w-means.dta saved

. 
. use datameans031307.dta, clear

. merge deptid using jackknife3pw, unique sort
(jackknife: xtpcse)
deptid was byte now float

. gen coca_hat = _jk_1*Lspraykm2  + _jk_2*Lg100000  + _jk_3*Lcorrupt100  + _jk_4*Lpubinf
> ra  + _jk_5*Lagroecon  + _jk_6*Ldisplaced  +_jk_7*Lrec100  + _jk_8*Lroads  + _jk_9*Lpo
> verty  + _jk_10*Ldisplaced*Ldisplaced 

. gen diff_i_hat = cocax100 - coca_hat

. save jackknife3pw-w-means, replace
(note: file jackknife3pw-w-means.dta not found)
file jackknife3pw-w-means.dta saved

. 
. use datameans031307.dta, clear

. merge deptid using jackknife4pw, unique sort
(jackknife: xtpcse)
deptid was byte now float

. gen coca_hat = _jk_1*Lspraykm2  + _jk_2*Lg100000  + _jk_3*Lcorrupt100  + _jk_4*Lpubinf
> ra  + _jk_5*Lagroecon  + _jk_6*Ldisplaced  +_jk_7*Lrec100  + _jk_8*Lroads  + _jk_9*Lpo
> verty  + _jk_10*Lrec100*Lrec*100 

. gen diff_i_hat = cocax100 - coca_hat

. save jackknife4pw-w-means, replace
(note: file jackknife4pw-w-means.dta not found)
file jackknife4pw-w-means.dta saved

. 
. clear

. log cl
       log:  C:\Documents and Settings\md177.AD\Desktop\modelresults031307complete.log
  log type:  text
 closed on:  13 Mar 2007, 15:01:09
----------------------------------------------------------------------------------------
